VP, Foundational Business Transformation Data and AI lead
New York Life Insurance CoAbout the role
Location Designation: Hybrid - 3 days per week
The VP, Foundational Business Transformation Data and AI lead is a senior executive accountable for defining, co-owning, and helping deliver the Data & AI strategy for the Foundational Business. This role is responsible leveraging Data and AI as key drivers of the overall business transformation through data-driven and AI-enabled capability identification, defining the value creation, supporting operational impact, and financial performance working closely with business and technology delivery leaders.
The VP serves as a key leader in the Transformation Office and is a strategic advisor to executive leadership, shaping how data and AI are leveraged to drive growth, efficiency, and competitive advantage. This role has owns the Data & AI portfolio for the Foundational Business, including strategy, execution, governance, and adoption.
Key Responsibilities
Strategy & Transformation
- Define and own the Data & AI strategy aligned to enterprise and Foundational Business priorities. Establish long-term roadmaps and investment priorities for Data & AI capabilities
- Convert the overall strategy to prioritized and actionable implementation opportunities with varying degrees of complexities i.e., business level ‘big bets’, AI is enabler to on going products/ initiatives etc.,
- Develop impact metrics and business cases aligned to AI and design changes required in talent and capabilities as an outcome of AI solutions
- Advise senior executives and influence enterprise strategy through data-driven insights and innovation
Execution & Delivery
- Accountable for end-to-end delivery of Data & AI initiatives, ensuring measurable business outcomes and value realization in partnership with Technology leaders
- Lead prioritization and execution of a portfolio of AI and data initiatives, balancing speed, scale, and risk
- Ensure successful adoption and scaling of AI solutions across the business
Data & Governance
- Partner with Tech Data leader to define and implement enterprise-grade data governance frameworks across value streams, including data quality, privacy, security, and compliance
- Oversee the development and scaling of data products and platforms required to enable AI capabilities working closely with Technology leaders
- Establish standards for responsible AI and data usage across the organization
Financial Accountability
- Own and manage a Data & AI investment portfolio, including budgeting, prioritization, and resource allocation
- Accountable for ROI and financial performance of Data & AI initiatives
- Align investments with business strategy and transformation goals
Leadership & Organization
- Lead and scale a multi-disciplinary organization to become a AI first leading insurance organization
- Develop and mentor senior leaders, building organizational capability and succession pipelines
- Drive a culture of innovation, accountability, and continuous improvement
- Operate effectively in a matrixed environment, leading through both direct and indirect teams
Cross-Functional & External Influence
- Act as the primary interface between business and technology organizations
- Drive alignment across business units, technology, and transformation teams
- Represent the organization externally with partners, vendors, and industry forums
- Build and manage strategic partnerships to accelerate Data & AI capabilities
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Business Administration, or related field; MBA preferred
- 12+ years of progressive leadership experience in data, AI, analytics, and business transformation
- Proven track record of leading large-scale, enterprise Data & AI initiatives
- Strong understanding of business strategy, financial management, and operating models
- Deep expertis
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