88 Stored Procedures jobs in Hyderabad

Database Administration Senior Analyst - HIH - Evernorth
**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.

**About this role:**
Wells Fargo is seeking a Data Management Manager
**In this role, you will:**
+ Make decisions and resolve issues regarding operational execution for data governance, data quality or metadata
+ Recommend strategies to prioritize and remediate data quality issues that align with business needs or regulatory compliance initiatives
+ Identify and recommend opportunities for the development of audits and controls structured around business processes and data quality target state and metadata standards
+ Manage and develop team of individual contributor roles with low to moderate complexity focused on defining data quality requirements and delivering on data integrity initiatives
+ Manage operational execution of activities related to all stages of the remediation lifecycle
+ Direct team in developing solutions, tools and processes used to maintain a common companywide data quality, control standards and data sourcing
+ Collaborate with and consult with peers, colleagues, and multiple level managers to ensure consistent approach and direction on companywide remediation efforts
+ Serve as single point of contact for escalations on low to moderate complexity issues
+ Manage allocation of people and financial resources
+ Mentor and guide talent development of direct reports and assist in hiring talent
**Required Qualifications:**
+ 4+ years of Data Management, Business Research, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
+ 2+ years of Leadership experience
Desired Qualifications:
+ Establish and maintain robust data control frameworks across critical data processes, ensuring compliance with regulatory and internal standards.
+ Drive operational excellence in data management by identifying inefficiencies, implementing automation, and continuously improving data services.
+ Proactively identify and mitigate data-related risks, ensuring early detection and resolution of control gaps.
+ Oversee data governance and quality initiatives, ensuring consistency, completeness, and reliability of data across systems.
+ Collaborate with cross-functional teams including business, technology, and compliance to align data strategies with organizational goals.
+ Monitor and report on data control metrics, providing transparency and accountability across data operations.
Job Expectations
+ Proven experience in data control, governance, and operational risk management within financial services, preferably investment banking.
+ Strong understanding of data quality frameworks, data pipelines, and regulatory requirements (e.g., BCBS 239, GDPR).
+ Experience in automation and process optimization within data operations.
+ Ability to think strategically and see the big picture while managing detailed control processes.
+ Excellent stakeholder management and communication skills, with a focus on influencing and driving change.
+ Familiarity with investment banking products and data flows is a strong advantage.
**Posting End Date:**
19 Oct 2025
**_*Job posting may come down early due to volume of applicants._**
**We Value Equal Opportunity**
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
**Applicants with Disabilities**
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo ( .
**Drug and Alcohol Policy**
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy ( to learn more.
**Wells Fargo Recruitment and Hiring Requirements:**
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
**Req Number:** R-

**About this role:**
Wells Fargo is seeking a Data Management Analyst
**In this role, you will:**
+ Participate in less complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps
+ Adhere to data governance standards and procedures
+ Identify data quality metrics and execute data quality audits to benchmark the state of data quality
+ Design and monitor data governance, data quality and metadata policies, standards, tools, processes, or procedures to ensure data control and remediation for companywide data management functions
+ Support communications with basic documentation related to requirements, design decisions, issue closure, or remediation updates
+ Support issue remediation by performing medium risk data profiling, data or business analysis, and data mapping as part of root cause or impact analysis
+ Provide support to regulatory analysis and reporting requirements
+ Recommend plans for the development and implementation of initiatives that assess the quality of new data sources
+ Work with business and technology partners or subject matter professionals to document or maintain business or technical metadata about systems, business or data elements, or data-related controls
+ Consult with clients to assess the current state of data quality within area of assigned responsibility
**Required Qualifications:**
+ 2+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
**Desired Qualifications:**
+ Experience in BSA-AML regulatory requirements and industry practices
+ Highly proficient in Excel, PowerPoint, data visualization and reporting
+ Proficient in data analysis and tools - Tableau and Power BI
+ Experience in Data Quality Assurance and data governance.
+ Technical skills in python, SQL and other data analysis tools will be a plus bit not mandatory
+ Strong analytical thinking, problem-solving, and program management skills
**Job Expectations:**
+ Financial Crimes (BSA-AML, Sanctions, Anti-Bribery/Corruption) experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
+ Defect management: Experience in executing data defects co-ordination and monitoring including performing weekly monitoring of open defects, supporting defect intake and submission tollgate activities and identifying off track defects and elevating them to Program oversight management
+ Issues review and oversight: Performing monthly review of new data-flagged issues to determine whether a defect is warranted and provide recommendation to Program oversight management.
+ Prior experience in working with Alteryx Designer writing data quality rules and data profiling.
+ Experience in documenting key data sources, data elements as well as in identifying data controls for in-scope processes that support broader program elements.
+ Metrics and reporting: Developing metric-based reporting covering all applicable Program areas and publishing monthly/quarterly/annual reporting to management
+ Responsible for performing data profiling, data analysis, and data mapping to support issue remediation and root cause analysis
+ Responsible for Recommending and implementing initiatives to assess the quality of new data sources
+ Responsible for working with business and technology teams to document and maintain business and technical metadata related to systems, business processes, and data elements
+ Responsible for consulting with stakeholders to evaluate and note areas of improvement in the current state of data quality in assigned areas.
+ Excellent Verbal and Written communication skills
+ Design and monitor data governance, data quality and metadata policies, standards, tools, processes, or procedures to ensure data control and remediation for companywide data management functions
+ Perform Data Quality Profiling on Critical Data Elements
+ Design and recommend data quality rules for Critical Data Elements for Completeness, Validity, Accuracy and Timeliness dimensions.
+ Participate in less complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps
+ Adhere to data governance standards and procedures
+ Identify data quality metrics and execute data quality audits to benchmark the state of data quality
+ Support issue remediation by performing medium risk data profiling, data or business analysis, and data mapping as part of root cause or impact analysis
+ Recommend plans for the development and implementation of initiatives that assess the quality of new data sources
+ Work with business and technology partners or subject matter professionals to document or maintain business or technical metadata about systems, business or data elements, or data-related controls
+ Consult with client's business partners to assess the current state of BSA-AML related data quality within area of assigned responsibility
**Posting End Date:**
29 Oct 2025
**_*Job posting may come down early due to volume of applicants._**
**We Value Equal Opportunity**
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.
Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.
**Applicants with Disabilities**
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo ( .
**Drug and Alcohol Policy**
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy ( to learn more.
**Wells Fargo Recruitment and Hiring Requirements:**
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
**Req Number:** R-

Role: **Data Management Manager**
**ABOUT AMGEN**
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
The Commercial Data Management Manager will be responsible for managing the execution of the Data Platforms Operations in partnership with the Technology team, driving continuous innovation, operational excellence, and cost efficiencies. The manager will oversee execution of features aligned with one or more of our Data Platform product teams and work with the global team and functional partners to implement additional capabilities to the platform aligned with business objectives. Also, the manager will partner with the Senior Manager, Data Platforms to initially focus on the transition efforts from the vendor teams, building a highly talented and data-focused team in our Innovation Center in India. You will also be responsible for partnering with our Amgen Technology partners and peer teams in the US and India to plan, design and implement large and strategic Data enabling programs.
**Roles & Responsibilities:**
**Execution of Data-Enabling Features in Product Teams**
+ Lead and oversee prioritization, execution and deployment of features in one of our Commercial Data Platforms Product teams aligned with standard operating procedures
+ Lead various stages of SDLC as a member of the Data Management Operations teams - including requirements gathering sessions with stakeholders across the US Commercial Organization (including Incentive Compensation, Field Reporting, Forecasting, Secondary Analytics), design, testing and documentation in partnership with the Technology teams in a Product Team setting.
+ Partner with peer teams in the US and technology teams to review requests, design solutions, estimate effort and prioritize requests in assigned Product backlog
+ Communicate with stakeholders through various stages of the SDLC and ensure alignment with stakeholders, and management on effort, solution, timelines and expectations
+ Accountable for ensuring governance processes are followed and appropriate system testing, User Accepting Testing (UAT) are done and documentation is set up to ensure traceability through the lifecycle of deployment
+ Responsible for working with syndicated data sets including IQVIA data - DDD, Xponent, ELAAD, etc., Digital Marketing data sets including Patient and Physician level data sets and internal data sets like HR data, Call Activity data from CRM systems, Patient Hub data to set up and enable HCP & Patient centric connected data sets for our stakeholders
+ Build connected data products for Amgen's Commercial Data and Analytics function leveraging data sets mentioned above that enable insights around Prescriber & Patient behaviour & engagement patterns to support more efficient targeting algorithms
+ Manage the Big Data platform infrastructure (Built on AWS tech / Airflow for Data storage and orchestration and Databricks for processing) - including access to the platform, platform costs, ad hoc capabilities for users, data quality, etc.
+ Partner with the US teams and Technology teams to evaluate and implement tools and technologies to support the future state of the platform including Automated Anomaly detection, Automated document generation, Bots against data, Searchability of data assets, LLM models on data and documents and other Gen AI capabilities
+ Partner with the Technology teams and direct line management to implement processes to monitor system health, set up alerts for anomalies and implement steps to proactively remediate areas of concern on the infrastructure front
+ Partner with peers across our four pillars - Master Data Management, Data Platforms, Patient Data Management, Data Acquisition & Governance to ensure alignment on solutions implemented for stakeholders
+ Identify and highlight roadblocks, process gaps, and resourcing needs to the Leadership team as part of continuous improvement efforts.
+ Identify opportunities for continuous improvement and highlight to direct line management and strategize roadmap for deployment
**Manage Work Transition and Insourcing**
+ In partnership with the Senior Manager Data Platforms, develop and oversee transition plans to migrate work to our Amgen India Innovation Center with minimal disruption and develop standard processes for onboarding peers and broader team.
+ Execute on the insourcing of our Operational Data Management Services currently delivered by external vendors, ensuring appropriate knowledge transfer, risk mitigation, and operational readiness.
+ Build robust repository of knowledge transition documents and set up processes for efficient operations within a global team framework
**Facilitate Cross-Team and Organizational Engagement and Alignment**
+ Partner closely with peers in Commercial Data Strategy core pillars and Data Management Senior Manager to contribute to delivering against our priority initiatives and establish new ways of working, especially across time zones.
+ Work with our Technology/IT partners and the US team members in Product Team setting and partner with other Product teams to ensure deliverables are aligned with the Platform governance model
+ Act as a liaison between at our Amgen India Innovation Center with other Customer Data & Analytics Teams to ensure alignment on goals, processes, and success measures.
**Basic Qualifications and Experience:**
+ Master's degree and 4 to 6 years of data management experience OR
+ Bachelor's degree and 8 to 10 years of relevant data management experience
+ Proven experience in working in global teams and across time zones and cultures
+ Proven experience in working in Product teams and delivering high quality solution in adherence with established processes
+ Strong leadership, stakeholder management, and communication skills.
+ Excellent English oral and written communication.
**Functional Skills:**
**Must-Have Skills:**
+ Prior experience and success working in high-performing data management teams, with clear demonstrations of collaboration, innovation, and continuous improvement.
+ Prior experience leading and supporting Data Platforms Operations - including executing in Agile Product teams, overseeing phased execution of Platform enhancements and innovations
+ Prior experience in executing in major data transformation projects with global teams, including core teams located in India.
+ Prior experience in data architecture and data flow design, data modelling and in data profiling
+ Prior hands-on experience and expertise in technologies such as AWS and Databricks with ability to dig into problem statements and partner with teams in Root cause analysis and in planning and implementing long term remediation
+ Hands-on experience with data analysis using tools and technologies like SQL, Python, R, etc.
+ Prior experience in partnering with stakeholders and technology teams in solution design for small features as well as complex large programs
+ Quick learning agility to understand new concepts such as our end-to-end Commercial data flows to identify and remediate interdependencies.
+ Collaborate with peers, India leadership team and peer teams in the USA to stay ahead of industry trends, best practices, and emerging technologies in data acquisition and build multi-year forward looking Data platform roadmaps.
+ Alignment with best practices and a commitment to championing new and innovative methodologies and tools to enhance data strategies and solutions to drive business outcomes.
**Good-to-Have Skills:**
+ Experience working in the life sciences commercial data domain space, ideally in the areas of Data Platforms and Patient Data.
+ Understanding of the syndicated commercial data sets and use cases
+ Worked in multinational settings with teams from different countries.
+ Basic understanding of compliance and data privacy requirements.
+ Familiarity with and application of Scaled Agile Framework (SAFe).
**Soft Skills:**
+ Exceptional collaboration and communication skills.
+ Strong data & analytics/critical-thinking and decision-making abilities.
+ Able to perform well in a fast-paced, changing environment.
+ Strong oral, written, and presentation skills, with the ability to articulate complex concepts and controversial findings clearly and compellingly.
**Ready to Apply for the Job?**
We highly recommend utilizing Workday's robust **Career Profile** feature to complete the application process. A link to update your profile is available when you click **Apply** . You can then complete your Workday profile in minutes with the "Upload My Experience" functionality to upload an updated copy of your resume or you can simply edit the individual sections of your Career Profile.
Please note that you should be in your current position for at least 18 months before applying to internal positions. Staff must notify their current manager if invited for an interview. In addition, Staff are ineligible to apply for open positions if (a) their performance is currently being managed on a performance improvement plan (PIP) or other locally utilized formal coaching document or (b) their most recent performance rating was not a "Partially Meets Expectations" or higher. Please visit our Internal Transfer Guidelines ( for more detailed information
**GCF Level**
GCF Level 05A
**Career Category**
Sales and Marketing Ops
**Position Type**
Full time

**ABOUT AMGEN**
Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.
**ABOUT THE ROLE**
**Role Description:**
The Manager will report into the Senior Manager, Patient Data Management at our Innovation Center in India. This individual will manage Amgen's patient data assets (e.g., data generated from Patient Support Programs and Specialty Pharmacy patient data contracts) and partner with other colleagues across the globe. This includes executing solutions to compliantly connect patient data assets that will serve as the foundation for driving patient journey analytics that inform enhanced patient experiences. This position is responsible for executing cross-functional processes, SOPs (Standard Operating Procedure), and governance to ensure secure and appropriate access to these sensitive data sets. This individual will partner with Patient Access, IS, and Commercial teams and with multiple external vendors to support patient data aggregation, integration, and ongoing operations.
**Roles & Responsibilities:**
+ Gather data requirements for onboarding of new patient support programs, specialty pharmacy and other patient data sources
+ Implement end-to-end data curation processes for Amgen's new and existing PSP (Patient Support Programs) and SP (Specialty Pharmacies) data sources
+ Implement linking of first- and third-party patient data assets to enable longitudinal analytics across the patient journey (e.g., across SPP, Hub, and Syndicated data sets)
+ Lead all aspects of day-to-day patient data operations for multiple brands supported by this role including the daily management of data aggregation vendor activities
+ Respond and resolve data inquiries from cross-functional stakeholders
+ Identify data issues across data sources, ensure checks are implemented and monitor data quality
+ Ensure compliant processing and management of patient level data assets in adherence to all Amgen Privacy and Compliance SOPs
+ Enforce data governance for patient data assets through data access management and business approval processes
**Basic Qualifications and Experience:**
+ Master's degree and 4 to 6 years of data management experience OR
+ Bachelor's degree and 8 to 10 years of relevant data management experience
+ Proven experience in working in global teams and across time zones and cultures
+ Proven experience in working in Product teams and delivering high quality solution in adherence with established processes
+ Strong stakeholder management and communication skills.
+ Excellent English oral and written communication.
**Functional Skills:**
**Must-Have Skills:**
+ Experience in Data Management, Analytics, Sales and/or Marketing Operations, Value & Access, or a related field
+ Direct experience in analyzing large data sets and translating data into information and insights
+ Experience with data, analytics, and technology solutions (AWS/other cloud platforms, SQL, Databricks, Tableau, SAS, Python, R, etc.)
+ Ability to effectively translate business stakeholder requirements to IT partners to ensure high quality, timely, integrated data assets
+ Deliver prioritized data deliverables through agile execution and continuous improvement
+ Demonstrated self-starter, ability to work under limited supervision
+ Strong interpersonal skills, active listening, and relationship management skills
+ Strong vendor management skills
+ Prior experience in executing in major data transformation projects with global teams, including core teams located in India.
**Good-to-Have Skills:**
+ Experience working in the life sciences commercial data domain space, ideally in the areas of Data Platforms and Patient Data.
+ Experience working with patient level datasets including first party sources such as Patient Support Programs & Specialty Pharmacies, Syndicated Sales & Claims data sources, Digital data sources, etc.
+ Quick learning agility to understand new concepts such as our end-to-end Commercial data flows to identify and remediate interdependencies.
+ Understanding of the syndicated commercial data sets and use cases
+ Worked in multinational settings with teams from different countries.
+ Basic understanding of compliance and data privacy requirements.
+ Familiarity with and application of Scaled Agile Framework (SAFe).
**Soft Skills:**
+ Exceptional collaboration and communication skills.
+ Strong data & analytics/critical-thinking and decision-making abilities.
+ Able to perform well in a fast-paced, changing environment.
+ Strong oral, written, and presentation skills, with the ability to articulate complex concepts and controversial findings clearly and compellingly.

Data Management Analyst

This role will be instrumental in building a robust semantic layer, comprising business-curated data layers that facilitate seamless access to workforce planning data. The successful candidate will govern the ecosystem of workforce data (FPA + People) data, ensuring data quality, integrity, and security, while driving faster speed to insights and analytics by optimizing data architecture and processes. A critical component of this role is preparing data for AI applications, enabling conversational analytics and AI-driven decision-making, ultimately shaping the future of conversational analytics and AI on Analytics.

Responsibilities

• Data Architecture Design: Develop and implement data architecture that complement data engineering design and policies, optimize querying processes to reduce time to insight. This includes designing data models, data warehousing solutions, and data integration frameworks that support the organization's data strategy
• Metrics Aggregation and Computation Layer: Design and develop a holistic metrics aggregation and computation layer across people analytics, enabling the optimization of standard report production, enhancement of dashboard performance, and driving self-service analytics. This involves creating a unified framework for metric calculation, data aggregation, and data visualization
• Subject Matter Expertise: Leverage subject matter expertise and business data process knowledge to design optimal data architecture that meets the needs of stakeholders. This requires a experience understanding of business operations, data flows, and data requirements
• Ontology and Artificial Intelligence-Consumable Data Architecture: Build ontology and AI-consumable data architecture and metadata, enabling the development of artificial intelligence and machine learning solutions. This involves creating data structures, taxonomies, and metadata frameworks that support AI applications

Key Skills & Qualifications:

• 10+ years of experience in data analysis, database development, or related fields, with a strong emphasis on SQL.
• Extensive experience in data extraction, cleaning, and transformation from diverse data sources, including relational databases (PostgreSQL, MySQL), cloud data warehouses (BigQuery)
• Proficiency in scripting languages such as Python for data automation.
• Strong problem-solving and analytical skills with an eye for identifying patterns, trends, and inconsistencies in data.
• Excellent business understanding of how data impacts decision-making and business strategy.
• Experience with Google Cloud Platform, particularly BigQuery and Cloud SQL, is a plus.
• Excellent communication and presentation skills.
• Extensive experience of building ontology and AI-consumable data architecture and metadata using prodigy, swoop, etc

Additional Skills (Preferred):

• Familiarity with google cloud is a plus.
• Strong communication skills to collaborate with cross-functional teams and present findings to stakeholders.

Responsibilities:
Enterprise Platform Enablement is looking for a Software Engineer with a winning track record in implementing high performing Test Data Management solutions, integrate and meet various Data Masking demands from Application Teams. He/she will be responsible for implementing Test Data Management solution which involves architecture, design, build, test, and support our Distributed and Mainframe applications.

The Software Engineer will be responsible for:
· Contributing to implement Test Data Management solution.
· Conducting source Data analysis and data profiling.
· Build Data Masking and synthetic data generation specs.
· Build Connection to SQL server/Oracle DB, Delimited/ Excel Files, Mainframe
· Writing, debugging, and optimizing JCL (Job Control language) scripts for batch processing including (Procs, Parms, Control cards)
· Collaborating with cross functional team members as necessary and come up with optimal solutions that meet data masking demands.

Required Qualifications
· Hands on experience in building Test Data Management solutions for Distributed/ Mainframe applications
· Experienced in Test Data Management tools such as K2View, Topaz Workbench (File-AID/EX, File-AID Data Privacy) etc
· RDBMS experience in Teradata, Oracle, MS-SQL, Postgres, DB2, RedShift, Snowflakes, etc
· Scripting language (shell scripting, SQL, PL/SQL, Python, Java)
· Experience with AWS cloud native services such as S3, RD etc
· Worked with any of the scheduling tools (Autosys, Tidal, Oozie)
· SCM tool such as Bitbucket with Jira, StarTeam or SVN.
· Experience working with various operating systems (Windows, Unix/Linux, IBM Mainframe)
· CA-7 – Job scheduling and management tool for Mainframe environments
· Experience with Mainframe Utilities – Mainframe utilities for data management, such as IDCAMS and IEBGENER
· Endevor – Configuration and the promotion of code through different stages of the lifecycle

· Strong communicator and collaborator with attention to details.
· 7+ years of professional work experience as described above.

Data Management Analyst

This role will be instrumental in building a robust semantic layer, comprising business-curated data layers that facilitate seamless access to workforce planning data. The successful candidate will govern the ecosystem of workforce data (FPA + People) data, ensuring data quality, integrity, and security, while driving faster speed to insights and analytics by optimizing data architecture and processes. A critical component of this role is preparing data for AI applications, enabling conversational analytics and AI-driven decision-making, ultimately shaping the future of conversational analytics and AI on Analytics.

Responsibilities

- Data Architecture Design: Develop and implement data architecture that complement data engineering design and policies, optimize querying processes to reduce time to insight. This includes designing data models, data warehousing solutions, and data integration frameworks that support the organization's data strategy
- Metrics Aggregation and Computation Layer: Design and develop a holistic metrics aggregation and computation layer across people analytics, enabling the optimization of standard report production, enhancement of dashboard performance, and driving self-service analytics. This involves creating a unified framework for metric calculation, data aggregation, and data visualization
- Subject Matter Expertise: Leverage subject matter expertise and business data process knowledge to design optimal data architecture that meets the needs of stakeholders. This requires a experience understanding of business operations, data flows, and data requirements
- Ontology and Artificial Intelligence-Consumable Data Architecture: Build ontology and AI-consumable data architecture and metadata, enabling the development of artificial intelligence and machine learning solutions. This involves creating data structures, taxonomies, and metadata frameworks that support AI applications

Key Skills & Qualifications:

- 10+ years of experience in data analysis, database development, or related fields, with a strong emphasis on SQL.
- Extensive experience in data extraction, cleaning, and transformation from diverse data sources, including relational databases (PostgreSQL, MySQL), cloud data warehouses (BigQuery)
- Proficiency in scripting languages such as Python for data automation.
- Strong problem-solving and analytical skills with an eye for identifying patterns, trends, and inconsistencies in data.
- Excellent business understanding of how data impacts decision-making and business strategy.
- Experience with Google Cloud Platform, particularly BigQuery and Cloud SQL, is a plus.
- Excellent communication and presentation skills.
- Extensive experience of building ontology and AI-consumable data architecture and metadata using prodigy, swoop, etc

Additional Skills (Preferred):

- Familiarity with google cloud is a plus.
- Strong communication skills to collaborate with cross-functional teams and present findings to stakeholders.