179 Data Growth jobs in India
Analyst, Data Strategy
Posted 2 days ago
Job Viewed
Job Description
_Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._
**Title and Summary**
Analyst, Data Strategy
The Data Quality team within Data Quality & Sources team in the AI and Data Office is responsible for developing and driving Mastercard's data quality program. This team ensures that Mastercard governs the data and tooling that powers products and services across Mastercard. We innovate to increase the value of Mastercard's data assets, protect the integrity of the Mastercard network, and ensure we continue to adapt to changes in the ecosystem, enabling new forms of payment, new players in the ecosystem and expanding collection and use of data to support new lines of business.
The Enterprise Data Quality & Sources team is responsible for ensuring data is of the highest quality and is fit-for-purpose to support business and analytic uses. The team works to identify and prioritize opportunities for data quality improvement, develops strategic mitigation plans and coordinates remediation activities with technical teams and product team business owners. It also drives the creation of curated merchant data to improve the quality and availability of data for the organization.
Role
As a Senior Analyst, Data Quality you will:
- Manage and govern the data of regional and global prioritized data assets (by merchants, industries, markets, and other dimensions) to ensure the highest quality of Mastercard data possible for products and services, as directed by Data Quality team management.
- Manage and work the queue and approval of user-submitted data corrections. Provide training and data support to users interacting with data. Assist less-senior data quality resources with reviewing complex data quality issues and decisioning.
- Evaluate and investigate new data assets to provide new data types, coverage, and better data quality for end users.
- Support dashboards to monitor data quality
- Evaluate and make business cases for AI and other new technologies to assist in merchant data improvements, where applicable.
- Provide subject matter expertise on merchant data to support product team requirements and onboarding to enterprise assets.
- Assist in the design of future data quality platforms and processes collaborating with technical teams.
- Engage technical and business partners and leadership (internal and external) to remediate issues found
- Prioritize data quality resources to support business activities that align with the organization's strategic initiatives
All About You
- Experience with B2B and B2C data governance and stewardship processes preferred
- Knowledge of multiple AP region languages, geography and business structures preferred.
- Passion for research (automated and human-based) and eagerness to understand and form complex merchant business relationships
- Strong interpersonal and communication skills with proven experience in relationship building and partnering
- Understanding of Mastercard platforms and applications and related business processes preferred
- High-level understanding of emerging technologies including but not limited to, cloud architecture, master data management tools (Reltio, Informatica, etc.), and AI.
- Strong analytic capabilities and experience using technologies such as SQL, Hadoop/Spark, and business intelligence tools (PowerBI/Tableau/etc.)
- Motivated self-starter with ability to excel at multi-tasking and solving problems in a fast-paced environment
**Corporate Security Responsibility**
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
+ Abide by Mastercard's security policies and practices;
+ Ensure the confidentiality and integrity of the information being accessed;
+ Report any suspected information security violation or breach, and
+ Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Senior Data Strategy Consultant
Posted 2 days ago
Job Viewed
Job Description
**Summary:**
Are you passionate about leveraging data to drive strategic decisions and innovation in a dynamic industry? As a Senior Data Strategy Consultant, you will play a pivotal role in our journey to become a data-driven organization. You will design and implement comprehensive data strategies that align with our business objectives, ensuring our data assets are organized, accessible, and utilized effectively. Collaborate with cross-functional teams to transform data into actionable insights and fuel our growth. Join a forward-thinking environment where your expertise will shape the future of our data initiatives.
**Detailed Responsibilities:**
+ Develop and execute holistic data strategies that align with business goals and drive innovation.
+ Collaborate with IT, business units, and senior leadership to integrate data-driven insights into decision-making processes.
+ Design and implement data governance frameworks, ensuring data integrity, quality, and compliance with regulations.
+ Lead efforts in data architecture planning and modernization, focusing on scalability and security.
+ Oversee the development and execution of advanced analytics and business intelligence initiatives to support business performance.
+ Identify and evaluate emerging data technologies and trends, proposing enhancements to data capabilities.
+ Manage relationships with external data vendors and partners, ensuring alignment with strategic objectives.
+ Mentor and guide a team of data professionals, fostering a culture of continuous learning and excellence.
+ Stay current with industry trends and best practices, proactively suggesting improvements to data strategy processes.
+ Ensure all data strategy activities comply with regulatory standards and internal policies.
**Must-Have Qualifications:**
+ Minimum 15 years of experience in data strategy, data management, or related roles.
+ Proven expertise in developing and implementing successful data strategies in complex organizations.
+ Strong understanding of data architecture, data governance, and data analytics.
+ Experience with data management technologies and tools (e.g., SQL, Hadoop, Tableau).
+ Demonstrated leadership skills with the ability to influence and inspire cross-functional teams.
+ Excellent analytical and problem-solving skills, with a keen ability to translate data into strategic insights.
+ Proficiency in data privacy regulations and best practices.
**Preferred Qualifications:**
+ Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field.
+ Relevant certifications (e.g., CDMP, DAMA) are a plus.
+ Experience in the (specific industry) sector, particularly with regulatory and compliance requirements.
+ Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
**Job Title: Senior Data Strategy Consultant**
**Summary:**
Are you passionate about leveraging data to drive strategic decisions and innovation in a dynamic industry? As a Senior Data Strategy Consultant, you will play a pivotal role in our journey to become a data-driven organization. You will design and implement comprehensive data strategies that align with our business objectives, ensuring our data assets are organized, accessible, and utilized effectively. Collaborate with cross-functional teams to transform data into actionable insights and fuel our growth. Join a forward-thinking environment where your expertise will shape the future of our data initiatives.
**Detailed Responsibilities:**
+ Develop and execute holistic data strategies that align with business goals and drive innovation.
+ Collaborate with IT, business units, and senior leadership to integrate data-driven insights into decision-making processes.
+ Design and implement data governance frameworks, ensuring data integrity, quality, and compliance with regulations.
+ Lead efforts in data architecture planning and modernization, focusing on scalability and security.
+ Oversee the development and execution of advanced analytics and business intelligence initiatives to support business performance.
+ Identify and evaluate emerging data technologies and trends, proposing enhancements to data capabilities.
+ Manage relationships with external data vendors and partners, ensuring alignment with strategic objectives.
+ Mentor and guide a team of data professionals, fostering a culture of continuous learning and excellence.
+ Stay current with industry trends and best practices, proactively suggesting improvements to data strategy processes.
+ Ensure all data strategy activities comply with regulatory standards and internal policies.
**Must-Have Qualifications:**
+ Minimum 15 years of experience in data strategy, data management, or related roles.
+ Proven expertise in developing and implementing successful data strategies in complex organizations.
+ Strong understanding of data architecture, data governance, and data analytics.
+ Experience with data management technologies and tools (e.g., SQL, Hadoop, Tableau).
+ Demonstrated leadership skills with the ability to influence and inspire cross-functional teams.
+ Excellent analytical and problem-solving skills, with a keen ability to translate data into strategic insights.
+ Proficiency in data privacy regulations and best practices.
**Preferred Qualifications:**
+ Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field.
+ Relevant certifications (e.g., CDMP, DAMA) are a plus.
+ Experience in the (specific industry) sector, particularly with regulatory and compliance requirements.
+ Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
**Job Title: Senior Data Strategy Consultant**
**Summary:**
Are you passionate about leveraging data to drive strategic decisions and innovation in a dynamic industry? As a Senior Data Strategy Consultant, you will play a pivotal role in our journey to become a data-driven organization. You will design and implement comprehensive data strategies that align with our business objectives, ensuring our data assets are organized, accessible, and utilized effectively. Collaborate with cross-functional teams to transform data into actionable insights and fuel our growth. Join a forward-thinking environment where your expertise will shape the future of our data initiatives.
**Detailed Responsibilities:**
+ Develop and execute holistic data strategies that align with business goals and drive innovation.
+ Collaborate with IT, business units, and senior leadership to integrate data-driven insights into decision-making processes.
+ Design and implement data governance frameworks, ensuring data integrity, quality, and compliance with regulations.
+ Lead efforts in data architecture planning and modernization, focusing on scalability and security.
+ Oversee the development and execution of advanced analytics and business intelligence initiatives to support business performance.
+ Identify and evaluate emerging data technologies and trends, proposing enhancements to data capabilities.
+ Manage relationships with external data vendors and partners, ensuring alignment with strategic objectives.
+ Mentor and guide a team of data professionals, fostering a culture of continuous learning and excellence.
+ Stay current with industry trends and best practices, proactively suggesting improvements to data strategy processes.
+ Ensure all data strategy activities comply with regulatory standards and internal policies.
**Must-Have Qualifications:**
+ Minimum 15 years of experience in data strategy, data management, or related roles.
+ Proven expertise in developing and implementing successful data strategies in complex organizations.
+ Strong understanding of data architecture, data governance, and data analytics.
+ Experience with data management technologies and tools (e.g., SQL, Hadoop, Tableau).
+ Demonstrated leadership skills with the ability to influence and inspire cross-functional teams.
+ Excellent analytical and problem-solving skills, with a keen ability to translate data into strategic insights.
+ Proficiency in data privacy regulations and best practices.
**Preferred Qualifications:**
+ Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field.
+ Relevant certifications (e.g., CDMP, DAMA) are a plus.
+ Experience in the (specific industry) sector, particularly with regulatory and compliance requirements.
+ Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
Senior Data Strategy Consultant
Posted 2 days ago
Job Viewed
Job Description
**Summary:**
Are you passionate about leveraging data to drive strategic decisions and innovation in a dynamic industry? As a Senior Data Strategy Consultant, you will play a pivotal role in our journey to become a data-driven organization. You will design and implement comprehensive data strategies that align with our business objectives, ensuring our data assets are organized, accessible, and utilized effectively. Collaborate with cross-functional teams to transform data into actionable insights and fuel our growth. Join a forward-thinking environment where your expertise will shape the future of our data initiatives.
**Detailed Responsibilities:**
+ Develop and execute holistic data strategies that align with business goals and drive innovation.
+ Collaborate with IT, business units, and senior leadership to integrate data-driven insights into decision-making processes.
+ Design and implement data governance frameworks, ensuring data integrity, quality, and compliance with regulations.
+ Lead efforts in data architecture planning and modernization, focusing on scalability and security.
+ Oversee the development and execution of advanced analytics and business intelligence initiatives to support business performance.
+ Identify and evaluate emerging data technologies and trends, proposing enhancements to data capabilities.
+ Manage relationships with external data vendors and partners, ensuring alignment with strategic objectives.
+ Mentor and guide a team of data professionals, fostering a culture of continuous learning and excellence.
+ Stay current with industry trends and best practices, proactively suggesting improvements to data strategy processes.
+ Ensure all data strategy activities comply with regulatory standards and internal policies.
**Must-Have Qualifications:**
+ Minimum 15 years of experience in data strategy, data management, or related roles.
+ Proven expertise in developing and implementing successful data strategies in complex organizations.
+ Strong understanding of data architecture, data governance, and data analytics.
+ Experience with data management technologies and tools (e.g., SQL, Hadoop, Tableau).
+ Demonstrated leadership skills with the ability to influence and inspire cross-functional teams.
+ Excellent analytical and problem-solving skills, with a keen ability to translate data into strategic insights.
+ Proficiency in data privacy regulations and best practices.
**Preferred Qualifications:**
+ Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field.
+ Relevant certifications (e.g., CDMP, DAMA) are a plus.
+ Experience in the (specific industry) sector, particularly with regulatory and compliance requirements.
+ Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
**Job Title: Senior Data Strategy Consultant**
**Summary:**
Are you passionate about leveraging data to drive strategic decisions and innovation in a dynamic industry? As a Senior Data Strategy Consultant, you will play a pivotal role in our journey to become a data-driven organization. You will design and implement comprehensive data strategies that align with our business objectives, ensuring our data assets are organized, accessible, and utilized effectively. Collaborate with cross-functional teams to transform data into actionable insights and fuel our growth. Join a forward-thinking environment where your expertise will shape the future of our data initiatives.
**Detailed Responsibilities:**
+ Develop and execute holistic data strategies that align with business goals and drive innovation.
+ Collaborate with IT, business units, and senior leadership to integrate data-driven insights into decision-making processes.
+ Design and implement data governance frameworks, ensuring data integrity, quality, and compliance with regulations.
+ Lead efforts in data architecture planning and modernization, focusing on scalability and security.
+ Oversee the development and execution of advanced analytics and business intelligence initiatives to support business performance.
+ Identify and evaluate emerging data technologies and trends, proposing enhancements to data capabilities.
+ Manage relationships with external data vendors and partners, ensuring alignment with strategic objectives.
+ Mentor and guide a team of data professionals, fostering a culture of continuous learning and excellence.
+ Stay current with industry trends and best practices, proactively suggesting improvements to data strategy processes.
+ Ensure all data strategy activities comply with regulatory standards and internal policies.
**Must-Have Qualifications:**
+ Minimum 15 years of experience in data strategy, data management, or related roles.
+ Proven expertise in developing and implementing successful data strategies in complex organizations.
+ Strong understanding of data architecture, data governance, and data analytics.
+ Experience with data management technologies and tools (e.g., SQL, Hadoop, Tableau).
+ Demonstrated leadership skills with the ability to influence and inspire cross-functional teams.
+ Excellent analytical and problem-solving skills, with a keen ability to translate data into strategic insights.
+ Proficiency in data privacy regulations and best practices.
**Preferred Qualifications:**
+ Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field.
+ Relevant certifications (e.g., CDMP, DAMA) are a plus.
+ Experience in the (specific industry) sector, particularly with regulatory and compliance requirements.
+ Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
**Job Title: Senior Data Strategy Consultant**
**Summary:**
Are you passionate about leveraging data to drive strategic decisions and innovation in a dynamic industry? As a Senior Data Strategy Consultant, you will play a pivotal role in our journey to become a data-driven organization. You will design and implement comprehensive data strategies that align with our business objectives, ensuring our data assets are organized, accessible, and utilized effectively. Collaborate with cross-functional teams to transform data into actionable insights and fuel our growth. Join a forward-thinking environment where your expertise will shape the future of our data initiatives.
**Detailed Responsibilities:**
+ Develop and execute holistic data strategies that align with business goals and drive innovation.
+ Collaborate with IT, business units, and senior leadership to integrate data-driven insights into decision-making processes.
+ Design and implement data governance frameworks, ensuring data integrity, quality, and compliance with regulations.
+ Lead efforts in data architecture planning and modernization, focusing on scalability and security.
+ Oversee the development and execution of advanced analytics and business intelligence initiatives to support business performance.
+ Identify and evaluate emerging data technologies and trends, proposing enhancements to data capabilities.
+ Manage relationships with external data vendors and partners, ensuring alignment with strategic objectives.
+ Mentor and guide a team of data professionals, fostering a culture of continuous learning and excellence.
+ Stay current with industry trends and best practices, proactively suggesting improvements to data strategy processes.
+ Ensure all data strategy activities comply with regulatory standards and internal policies.
**Must-Have Qualifications:**
+ Minimum 15 years of experience in data strategy, data management, or related roles.
+ Proven expertise in developing and implementing successful data strategies in complex organizations.
+ Strong understanding of data architecture, data governance, and data analytics.
+ Experience with data management technologies and tools (e.g., SQL, Hadoop, Tableau).
+ Demonstrated leadership skills with the ability to influence and inspire cross-functional teams.
+ Excellent analytical and problem-solving skills, with a keen ability to translate data into strategic insights.
+ Proficiency in data privacy regulations and best practices.
**Preferred Qualifications:**
+ Advanced degree in Data Science, Computer Science, Information Technology, Business Administration, or a related field.
+ Relevant certifications (e.g., CDMP, DAMA) are a plus.
+ Experience in the (specific industry) sector, particularly with regulatory and compliance requirements.
+ Familiarity with Agile methodologies and project management tools (e.g., JIRA, Confluence).
Senior E-commerce Data Analyst & Growth Hacker
Posted 7 days ago
Job Viewed
Job Description
Responsibilities:
- Analyze website traffic, sales data, customer behavior, and marketing campaign performance.
- Develop and maintain dashboards and reports to track key e-commerce KPIs (e.g., conversion rate, AOV, LTV, churn).
- Identify patterns and trends in customer data to inform product development, marketing, and merchandising strategies.
- Conduct A/B testing and multivariate testing to optimize website elements and user experience.
- Develop segmentation strategies for targeted marketing campaigns.
- Collaborate with marketing, product, and operations teams to implement data-driven growth initiatives.
- Forecast sales and revenue based on historical data and market trends.
- Monitor competitor performance and industry benchmarks.
- Provide actionable recommendations to improve customer acquisition, retention, and lifetime value.
- Stay abreast of the latest tools and techniques in data analytics, growth hacking, and e-commerce.
- Bachelor's or Master's degree in Statistics, Mathematics, Economics, Business Analytics, or a related quantitative field.
- Minimum of 4 years of experience in data analysis, with a focus on e-commerce or digital marketing.
- Proficiency in data analysis tools such as SQL, Python, R, and Excel.
- Experience with data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of e-commerce metrics, user behavior analysis, and conversion rate optimization (CRO).
- Familiarity with web analytics platforms (e.g., Google Analytics).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex data to non-technical stakeholders.
- Ability to work independently and manage multiple projects in a hybrid work environment.
- Experience with marketing automation and CRM systems is a plus.
Senior Manager Data Strategy & Insights
Posted 2 days ago
Job Viewed
Job Description
Company Overview:
Chargeback Gurus helps businesses protect and recover revenue by providing innovative chargeback management solutions, AI analytics, and insights powered by our proprietary Chargeback management platform. By understanding our clients’ needs and fully aligning with their goals, we help clients reduce chargebacks and increase recovery rates to maximize revenue. Our technology solutions use powerful AI insights, data science and advanced analytics —combined with deep industry expertise—to deliver hundreds of millions of dollars in recovered revenue to our clients. visit .
We are seeking a Senior Manager – Data Strategy & Insights to lead our data strategy efforts. This role will be instrumental in uncovering trends across transaction ecosystems, analyzing card usage behaviors, and deriving insights related to issuing banks. The ideal candidate will drive the development of robust reporting frameworks and data driven solutions.
Position Overview:
As the Senior Manager – Data Strategy & Insights , your role will be instrumental in shaping the company’s data strategy, enabling bold, insight-driven decisions that impact revenue, client experience, and operational efficiency.
This is an individual contributor role which requires a blend of strategic thinking, technical expertise, and leadership, with a strong understanding of MIS architecture, data visualization, and automation frameworks.
Key Responsibilities:
Data Analysis & Business Insights
- Analyze large and complex datasets related to financial transactions, customer behavior, chargeback trends, and risk assessment.
- Identify patterns, correlations, and trends to enhance fraud prevention and improve operational efficiency.
- Provide data analysis to help stakeholders make data-driven business decisions.
- Visualize KPIs for executive leadership and partner with data engineering teams to ensure seamless integration of MIS with organizational data warehouses.
Data Visualization:
- Utilize data visualization tools such as PPT, Tableau, Power BI, QuickSight or similar platforms to transform complex data into intuitive visual representations.
- Design interactive dashboards and reports that allow stakeholders to explore data and gain insights through interactive and dynamic filters and drill-down capabilities.
- Must be able to interpret complex concepts and translate them into easy-to-understand graphs, charts, and visual graphics.
- Create intuitive data visualizations and reports that facilitate understanding and decision-making across various organizational levels.
Cross-Functional Collaboration
- Work closely with Sales, Operations, Finance, and Product teams to translate data into business strategies.
- Support the Sales team by providing insights into ROI, revenue optimization, and market trends.
- Collaborate with IT teams to enhance data governance and security protocols.
- Guide executives and business leaders on leveraging MIS tools for strategic decision-making.
Process Optimization & Innovation
- Continuously evaluate and optimize MIS processes to improve operational efficiency.
- Implement data analytics solutions to improve forecasting and fraud detection.
- Enhance data integrity by establishing data quality control measures.
Data Integrity and Quality Assurance:
- Ensure data accuracy, completeness, and consistency in various datasets used for analysis.
- Collaborate in data cleansing and transformation activities.
Continuous Learning and Industry Expertise:
- Stay updated with the latest trends and techniques in data analysis, machine learning, and the chargeback industry.
- Share insights and best practices with the team to foster continuous improvement.
Qualifications:
- Bachelor’s/Master’s degree in Commerce and Business Administration with an additional qualification in Data Analytics and Reporting.
- 12-15 years of experience in MIS, Data Analytics, preferably in the financial services, payments, or chargeback industry, with at least 4 years in a leadership role.
- Demonstrated ability to influence senior leadership through data storytelling and strategic insights.
- Woking knowledge in SQL, VBA, and data visualization tools (Power BI, Tableau, QuickSight).
- Proven experience in automation of reporting and dashboarding.
- Excellent command over MS Excel, PowerPoint, and Word for data interpretation and presentations.
- Strong problem-solving skills with the ability to extract actionable insights from complex data.
- Six Sigma, PMP, or Lean certifications would be a plus.
- Strong leadership and communication skills, with the ability to present technical insights to non-technical audiences.
- Ability to work in UK/US time zones (IST shifts between 3 PM – 12 AM).
Lead of Data Strategy & Alliances
Posted 5 days ago
Job Viewed
Job Description
Company Description
Cyble (YC W21) is a Series B-funded global cyber intelligence start-up supported by notable VC firms and Y Combinator. We provide customers with AI-powered actionable threat intelligence to manage cyber risks effectively. Our team specializes in delivering cutting-edge solutions to help organizations and governments stay ahead of cyber threats.
We’re building the next generation of memory-augmented AI systems—agents that learn , recall , and reason like humans. Our mission is to develop long-context AI that’s persistent, intelligent, and adaptive. If you’re passionate about solving fundamental problems in memory for AI , we want to hear from you. At Cyble, you won’t just work with toy datasets or academic-scale models—you’ll be applying your ideas to petabyte-scale real-world data , spanning global threat intelligence, telemetry, signals, and behavioral metadata.
The Lead of Data Strategy & Alliances will be responsible for shaping and executing Cyble’s global data acquisition roadmap. You’ll identify, evaluate, and secure strategic alliances with external providers to expand our intelligence coverage across people, organizations, locations, and digital infrastructure .
This role requires a unique blend of technical expertise, partnership building, and intelligence tradecraft . You will work closely with our product, engineering, and AI teams to ensure that every acquired dataset drives tangible impact for Cyble’s customers.
Data Strategy & Acquisition
- Define and execute the roadmap for acquiring high-value datasets aligned to Cyble’s product vision.
- Evaluate and negotiate partnerships, vendor relationships, and ecosystem collaborations.
- Drive seamless integration of external datasets into Cyble’s AI-native intelligence platform .
Alliances & Partnerships
- Build long-term relationships with data providers, intelligence consortiums, and ecosystem partners.
- Structure partnership models that maximize strategic advantage while ensuring compliance.
- Represent Cyble in global forums and industry alliances.
Data Quality & Governance
- Rigorously evaluate datasets for coverage, quality, and freshness.
- Partner with AI and engineering teams to optimize ingestion, normalization, and enrichment.
- Ensure alignment with global privacy regulations (GDPR, CCPA, etc.) and Cyble’s internal governance frameworks.
Strategic Impact
- Translate raw external data into actionable threat intelligence that strengthens Cyble’s autonomous AI agents.
- Monitor ROI of external datasets and continuously refine sourcing strategy.
- Contribute to Cyble’s multi-year AI and intelligence strategy through data-driven insights.
- 7+ years of experience in data strategy, acquisition, or ecosystem partnerships .
- Strong understanding of data ecosystems (people, organizational, location, infrastructure).
- Proven ability to structure and negotiate strategic partnerships or vendor agreements .
- Familiarity with cyber threat intelligence, SaaS, or AI ecosystems .
- Deep knowledge of data governance, compliance, and privacy frameworks .
- Excellent technical, analytical, and communication skills with the ability to engage both executives and engineers.
- Lead the data backbone of one of the fastest-growing AI-native security platforms .
- Shape the intelligence ecosystem behind autonomous security agents .
- Collaborate with a global team at the forefront of cybersecurity and AI innovation .
- Competitive global compensation, benefits, and opportunities for leadership growth.
Senior Data Strategy Manager (Remote)
Posted 4 days ago
Job Viewed
Job Description
Responsibilities:
- Develop and articulate a clear, long-term data strategy aligned with overall business objectives.
- Define data governance policies, standards, and processes to ensure data quality, security, privacy, and compliance.
- Identify opportunities for leveraging data analytics and AI/ML to create business value and competitive advantage.
- Oversee the implementation of data management platforms, data warehousing solutions, and business intelligence tools.
- Collaborate with stakeholders across various departments (e.g., Marketing, Sales, Product, Operations) to understand their data needs and translate them into technical requirements.
- Lead a team of data analysts, data scientists, and data engineers, providing guidance and fostering a data-driven culture.
- Establish frameworks for data cataloging, metadata management, and data lineage.
- Define metrics and KPIs to measure the effectiveness of the data strategy and its impact on business outcomes.
- Manage relationships with data technology vendors and partners.
- Stay abreast of emerging trends in data management, analytics, AI, and machine learning.
- Present data strategy initiatives and progress to executive leadership.
- Develop and implement data literacy programs across the organization.
- Master's or Ph.D. in Computer Science, Statistics, Data Science, Business Analytics, or a related quantitative field.
- A minimum of 10 years of experience in data management, data analytics, business intelligence, or data strategy roles, with at least 4 years in a leadership capacity.
- Proven track record of developing and successfully implementing enterprise-level data strategies.
- Deep understanding of data warehousing concepts, ETL/ELT processes, data modeling, and database technologies.
- Expertise in data governance, data quality management, and data security best practices.
- Strong knowledge of business intelligence tools (e.g., Tableau, Power BI) and analytics platforms.
- Experience with cloud data platforms (AWS, Azure, GCP) is essential.
- Familiarity with AI/ML concepts and their application in business.
- Exceptional strategic thinking, analytical, and problem-solving skills.
- Outstanding communication, presentation, and stakeholder management skills, crucial for a remote leadership role.
- Experience in managing and mentoring diverse technical teams.
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HIH - Data Management Strategy & Governance Advisor
Posted 2 days ago
Job Viewed
Job Description
Cigna's Foundational Data Engineering & Services (FDE&S) unit offers solutions that provide actionable insights to internal and external business partners and customers that help reduce health costs, improve outcomes, provide financial security and measure and forecast business performance. The Foundational Data Engineering & Services team has joint accountability with business operations to achieve Cigna's customer-centric, business growth objectives and strives for high levels of alignment, day-to-day engagement. The team provides analytical discipline and rigor to enable fact-based decisions for the business.
The Advisor will provide expert measurable data content and deliverables by using SQL and other tools for data profiling, data mapping and data analysis related to the Enterprise Data environment. This person will work closely in an Agile Team setting with the Technical Product Owner to meet business deliverables and technical capabilities.
**This position is with Evernorth Health Services, a business within Cigna.**
**CORE RESPONSIBILITIES:**
+ Conduct data research and analysis to assist with mapping data sources.
+ Ensure quality and integrity of data collected, analysis performed by queries to compare source data to target data.
+ Document data gaps with solutions while working with the delivery teams to ensure business needs are met.
+ Define/help design new business views as needed by the business and work with the delivery team.
+ Collaborates with Product Team and solution engineering experts to define, organize and manage data.
+ Drive innovation proactively, partner to identify and implement new ideas/technologies, which could substantially improve customer experience and/or create differentiation.
+ Act as a data expert for the Agile Scrum Team and the stakeholders.
+ Capture and validate summarized results for Technical Product Owner and team after data solutions are deployed to production by using various data tools such as Teradata, Python and SQL.
+ Participate in educational opportunities to expand on specific healthcare domains (i.e., Claim, Customer, and Client) with the end goal of becoming a Subject Matter Expert for their respective domains.
+ Other duties as assigned.
**QUALIFICATIONS:**
+ BS or BA degree in MIS, Business, Computer Science or equivalent work experience and training.
+ 11-13 years of hands-on experience working with data mining, analysis, informatics data processing software and languages such as: Teradata Studio, Toad, Git, Alation, SQL.
+ Experience with SQL is required. Strong SQL is a big plus.
+ Familiarity with some or all the following: Python, SAS, Java/Scala, json, Bash Scripting, PL/SQL, Transact SQL, AWS, Collibra DIC, erwin Data Modeler, Teradata Vantage, Databricks.
+ Ability to review and analyze code to help decode or research data issues using technologies such as SQL, Python etc.
+ Experience in Data Profiling, Data Mapping, Data Validation, and Data Warehouse.
+ Detail oriented with proven ability to prioritize multiple tasks.
+ Demonstrated experience in data informatics & data exchange, particularly using healthcare and clinical data such as: Claim, Membership, Client Structure, Benefits, and Utilization Management/Case Management etc.
+ Cigna experience is a plus, preferably focused on experience with CCW or data warehousing.
+ Experience applying a consultative and collaborative approach.
+ Previous SAFE and Agile experience strongly preferred.
+ Team player with strong interpersonal and collaboration skills.
+ Demonstrated experience working independently with limited direction/guidance.
+ Defining and documenting data requirements.
+ Experience with Data Governance, Data Modeling is a plus.
**About Evernorth Health Services**
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
HIH - Data Management Strategy & Governance Advisor
Posted 2 days ago
Job Viewed
Job Description
Cigna's Foundational Data Engineering & Services (FDE&S) unit offers solutions that provide actionable insights to internal and external business partners and customers that help reduce health costs, improve outcomes, provide financial security and measure and forecast business performance. The Foundational Data Engineering & Services team has joint accountability with business operations to achieve Cigna's customer-centric, business growth objectives and strives for high levels of alignment, day-to-day engagement. The team provides analytical discipline and rigor to enable fact-based decisions for the business.
The Advisor will provide expert measurable data content and deliverables by using SQL and other tools for data profiling, data mapping and data analysis related to the Enterprise Data environment. This person will work closely in an Agile Team setting with the Technical Product Owner to meet business deliverables and technical capabilities.
**This position is with Evernorth Health Services, a business within Cigna.**
**CORE RESPONSIBILITIES:**
+ Conduct data research and analysis to assist with mapping data sources.
+ Ensure quality and integrity of data collected, analysis performed by queries to compare source data to target data.
+ Document data gaps with solutions while working with the delivery teams to ensure business needs are met.
+ Define/help design new business views as needed by the business and work with the delivery team.
+ Collaborates with Product Team and solution engineering experts to define, organize and manage data.
+ Drive innovation proactively, partner to identify and implement new ideas/technologies, which could substantially improve customer experience and/or create differentiation.
+ Act as a data expert for the Agile Scrum Team and the stakeholders.
+ Capture and validate summarized results for Technical Product Owner and team after data solutions are deployed to production by using various data tools such as Teradata, Python and SQL.
+ Participate in educational opportunities to expand on specific healthcare domains (i.e., Claim, Customer, and Client) with the end goal of becoming a Subject Matter Expert for their respective domains.
+ Other duties as assigned.
**QUALIFICATIONS:**
+ BS or BA degree in MIS, Business, Computer Science or equivalent work experience and training.
+ 11-13 years of hands-on experience working with data mining, analysis, informatics data processing software and languages such as: Teradata Studio, Toad, Git, Alation, SQL.
+ Experience with SQL is required. Strong SQL is a big plus.
+ Familiarity with some or all the following: Python, SAS, Java/Scala, json, Bash Scripting, PL/SQL, Transact SQL, AWS, Collibra DIC, erwin Data Modeler, Teradata Vantage, Databricks.
+ Ability to review and analyze code to help decode or research data issues using technologies such as SQL, Python etc.
+ Experience in Data Profiling, Data Mapping, Data Validation, and Data Warehouse.
+ Detail oriented with proven ability to prioritize multiple tasks.
+ Demonstrated experience in data informatics & data exchange, particularly using healthcare and clinical data such as: Claim, Membership, Client Structure, Benefits, and Utilization Management/Case Management etc.
+ Cigna experience is a plus, preferably focused on experience with CCW or data warehousing.
+ Experience applying a consultative and collaborative approach.
+ Previous SAFE and Agile experience strongly preferred.
+ Team player with strong interpersonal and collaboration skills.
+ Demonstrated experience working independently with limited direction/guidance.
+ Defining and documenting data requirements.
+ Experience with Data Governance, Data Modeling is a plus.
**About Evernorth Health Services**
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
Senior Sports Performance Analyst - Remote Data & Strategy
Posted 6 days ago
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Job Description
Key Responsibilities:
- Collect, manage, and analyze performance data from various sources, including in-game statistics, training metrics, and biometric data.
- Develop and implement advanced statistical models to identify key performance indicators (KPIs) and trends.
- Provide data-driven insights and recommendations to coaches and athletes to optimize training and game strategies.
- Create comprehensive performance reports and visualizations for various stakeholders.
- Collaborate with coaching staff to set performance goals and monitor progress.
- Stay current with the latest advancements in sports science, performance analytics, and relevant technologies.
- Utilize specialized software and tools for data analysis and performance tracking.
- Assist in the development and implementation of talent identification and scouting processes.
- Educate coaches and athletes on the interpretation and application of performance data.
- Contribute to the continuous improvement of data collection and analysis methodologies.
- Manage and mentor junior performance analysts in a remote team setting.
Required Qualifications:
- Bachelor's degree in Sports Science, Exercise Physiology, Data Science, Statistics, or a related field. A Master's degree is highly preferred.
- Minimum of 6 years of experience in sports performance analysis or a similar role.
- Proven expertise in quantitative data analysis and statistical modeling.
- Proficiency with data analysis software (e.g., R, Python, SPSS, SQL).
- Experience with performance analysis tools and platforms specific to various sports.
- Strong understanding of biomechanics, physiology, and training principles.
- Excellent communication and presentation skills, with the ability to convey complex data to non-technical audiences remotely.
- Ability to work independently, manage time effectively, and meet deadlines in a remote environment.
- Passion for sports and a commitment to athlete development.
- Experience in a remote work setting is a strong advantage.