2,290 Chief Data Officer jobs in India
Chief Data officer
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- Data Strategy & Governance:Develop and implement a comprehensive data strategy aligned with organizational goals and establish data governance frameworks and policies.
- Data Quality & Management:Ensure the accuracy, quality, and reliability of data through data quality processes and data lifecycle management.
- Analytics & Insights:Drive the development of analytics capabilities to turn raw data into actionable business insights.
- Compliance & Security:Monitor and ensure compliance with data protection regulations (e.g., GDPR) and implement security protocols to safeguard data.
- Data-Driven Transformation:Act as a change agent, driving digital transformation by making data accessible and promoting data-driven decision-making throughout the organization.
- Collaboration & Leadership:Work with other C-suite executives (CEO, CFO, COO) and departments to embed data into strategic planning and operations.
- AI & Emerging Technologies:Oversee the responsible integration of emerging technologies like AI, Machine Learning, and Cloud Computing into data strategies.
- Age limit:20 to 30.
Job Types: Full-time, Permanent, Fresher
Pay: ₹35, ₹54,789.89 per month
Work Location: In person
Chief Data Officer
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Defines enterprise-wide data governance, analytics, and AI roadmap.e role involves defining enterprise-wide data policies, managing data quality and security, and building advanced analytics and AI capabilities.
Chief Data and Analytics officer
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JD for Chief Data and Analytics officer
Job Title: Chief Data and Analytics officer
Location: Navi Mumbai
Industry:- Insurance
Reports To: EVP & Head Digital & Innovation for alll IT related work and and administrative purpose and dotted line to President business strategy for Business use case and prioritization
Experience: Approximately 16+ years in AI, Data Analytics, and Technology Leadership
About the Role:
As the Head of the AI and Analytics Center of Excellence, you will be a strategic leader responsible for driving the AI and analytics vision, innovation, and operational excellence across the organization. You will lead the development and deployment of advanced data-driven solutions to enhance various Insurance use cases such as Lead propensity, underwriting, claims management, customer experience, risk assessment, and overall business performance. This role requires a seasoned professional with deep technical expertise, strategic thinking, and proven leadership in the BFSI industry.
Key Responsibilities:
- Strategic Leadership: Develop and execute the AI and analytics strategy aligned with the company's overall business goals and digital transformation roadmap.
- CoE Governance: Establish and oversee the governance, standards, and best practices for AI,ML and analytics projects across the organization.
- Technology & Innovation: Identify emerging AI/ML technologies, tools, and platforms; pilot innovative solutions to gain competitive advantage.
- Data, digital architecture and Platform: Own and design the end to end data architecture and platform of the bank to ensure end to end seamless integration from source systems to AI. Champion investment in, implementation and adoption of tools as needed for data driven digital transform ( e.g. CRM and campaign management, Rule engine, journey tracking tools and SDKs etc)
- BI and integrations: As part of the overall transformation deliver BI solutions and necessary downstream/ upstream integrations.
- Oversight: Lead and mentor a team of data scientists, data engineers, analytics professionals, and AI specialists to deliver impactful projects. Where needed undertake process redesign and engineering to achieve desired outcomes. Have a small team of process experts to handhold such transformation end to end.
- Stakeholder Collaboration: Partner with business units to identify opportunities and translate business needs into technical solutions.
- Data Governance & Quality: Ensure robust data governance, privacy, security, and quality frameworks are in place. Be responsible for elements of regulatory compliance pertaining to reporting and other data centric guidelines like DPDP.
- Talent Development: Build and nurture high-performing teams; foster continuous learning and skills development.
- Vendor & Partner Management: Manage relationships with external vendors, research institutions, and technology providers.
- Regulatory Compliance: Ensure all AI/analytics initiatives comply with industry regulations and ethical standards.
- Reporting & Communication: Provide regular updates to executive leadership on AI/analytics initiatives, ROI, and strategic insights.
Qualifications & Experience:
- Educational Background: Bachelor's, Master's in Computer Science, Data Science, Statistics, Mathematics, or related field.
- Experience: Minimum of 16 years in AI, Data Analytics, and Digital Transformation, with significant leadership experience in the BFSI sector.
- Technical Expertise: Deep understanding of machine learning, deep learning, NLP, computer vision, and other AI techniques; proficiency with data platforms (e.g., AWS, GCP), data modelling, and big data technologies.
- Industry Knowledge: Strong understanding of insurance processes, underwriting, claims management, actuarial models, and regulatory environment.
- Leadership Skills: Proven track record of leading large, cross-functional teams and managing complex projects.
- Strategic Thinking: Ability to formulate and communicate a compelling vision for AI/Analytics in a corporate setting.
- Change Management: Skilled in driving organizational change and fostering a data-driven culture.
- Certifications (preferred): Relevant certifications such as Certified Analytics Professional (CAP), AWS/GCP certifications, or equivalent.
Desired Attributes:
- Innovative and forward-thinking mindset.
- Strong problem-solving and critical-thinking capabilities.
- Excellent communication and stakeholder management skills.
- Ability to operate effectively at both strategic and tactical levels.
- Passion for leveraging AI to transform insurance business operations.
Interested candidates can share their updated resume :-
Chief Executive Officer- Data Centre
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The Chief Executive Officer (CEO) will be responsible for spearheading the organization’s growth in the data center industry, with a focus on end-to-end project execution, business development, strategic partnerships, and profitability. The ideal candidate will bring deep expertise in Engineering, Procurement, and Construction (EPC) for data centers, alongside robust skills in corporate sales, investor relations, and policy advocacy. This role demands a visionary leader capable of navigating a dynamic market landscape while delivering operational and financial excellence.
Key Responsibilities:
Drive corporate sales growth by identifying and securing high-value clients.
Lead the identification and execution of joint ventures and partnerships to enhance capabilities and market presence.
Ensure projects are delivered on time, within budget, and to the highest standards of quality and safety.
Manage multidisciplinary teams and stakeholders involved in large-scale infrastructure projects.
Oversee capital investments and budgeting to support sustainable growth and ROI.
Collaborate with investors to secure funding and provide clear financial reporting.
Foster collaborations with government bodies and regulatory authorities to ensure alignment with policy and advocacy efforts.
Advocate for favorable policies in the data center industry by engaging with policymakers and industry associations.
Position the organization as a leader in data center innovation and service delivery.
Foster a culture of innovation, accountability, and excellence within the organization.
Executive Management Assistant
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Company Description
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Role Description
This is a full-time on-site role for an Executive Management Assistant located in Sangole. The Executive Management Assistant will be responsible for providing executive administrative assistance, managing expense reports, and offering executive support. Daily tasks will include scheduling meetings, preparing reports, managing correspondence, and assisting with administrative tasks to ensure the smooth operation of executive functions.
Qualifications
- Executive Administrative Assistance, Administrative Assistance, and Executive Support skills
- Experience in preparing and managing Expense Reports
- Excellent Communication skills, both written and verbal
- Detail-oriented with strong organizational abilities
- Proficiency in Microsoft Office Suite
- Ability to handle multiple tasks and prioritize effectively
- Experience in the garments, textiles, buying, or merchandising industry is a plus
- Bachelor's degree in Business Administration, Management, or a related field preferred
Executive / Management Trainee - Plant Admin
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Housekeeping Management
Canteen Management
Security Management
Transport Management
Vendor Management and vendor payments
Pest control
Plant Plumbing
Admin Budgeting
Handling Customers visits, Audit & Documentation
Gardening
Stationary
Data Governance
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Role: Data Governance - Cloud Data Quality(CDQ)
Experience: 3+yrs
Mode of work: Remote
Notice period: Only 15-30days
Package: 10LPA Max
- Strong hands-on experience with Informatica Cloud Data Quality (CDQ) Data Quality Rule Design and Implementation
- Proficiency in data profiling, cleansing, standardization, and data verification.
- Solid understanding of data governance and data management principles.
- Experience with ETL processes and data integration.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
- Knowledge of SQL and database management systems.
- Familiarity with CDGC preferred
- Azure experience required.
- Strong communication skills oral and written.
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Data Governance
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Position: Data Governance - Cloud Data Governance and Catalog (CDGC).
Work Mode: Remote.
Experience: 3+ Years.
Minimum 3+ years with hands-on experience on EDC and Axon; Familiarity with CDGC is strongly preferred as the tools are transitioning to cloud end of the year.
Strong technical and analytical skills
Leverage industry standard practices to develop Glossaries, policies, guidelines, tools, metrics, and standards for managing metadata.
Previous implementation exposure of Axon data governance marketplace with clear understanding of data domain, meta model, operating model
Clear communication skills oral and written required.
Strong understanding of EDC and integration with other systems and tools.
Strong Experience with configuring scanners (native and custom) and APIs.
Strong client facing skills to work closely with business /SME's.
Experience with Azure cloud platform required.
Familiarity with Informatica cloud Data Quality Management.