
Job Title: Chief Data and Analytics Officer
Location: Navi Mumbai
Industry: Insurance
Reports To: EVP & Head Digital & Innovation for all IT related work 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. 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: Bachelors, Masters 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 :jeena.sunil@evokehr.com
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