Chief Data and Analytics officer

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 :-