Lead Technical Program Manager– Data & Analytics

Role Overview Drive enterprise-scale AI-first initiatives by combining strong analytical rigor with cross-functional leadership to deliver business impact. Lead strategy, execution, and adoption of data and AI capabilities across product, engineering, and business teams. Key Responsibilities Lead AI-first strategy and execution: Define and operationalize AI-centric use cases, ensuring alignment with enterprise data and platform strategy. Drive data-driven decision-making: Leverage advanced analytics to shape product direction, prioritize investments, and measure business outcomes. Orchestrate cross-functional delivery: Align engineering, data science, product, UX, and business stakeholders to deliver integrated solutions at scale. Translate business needs into AI solutions: Bridge strategy and execution by converting business problems into scalable data/AI solutions. Own end-to-end program delivery: Establish operating models, governance, and execution frameworks to drive predictability and accountability. Influence senior stakeholders: Communicate insights, trade-offs, and progress to executive leadership with clarity and impact. Champion adoption and value realization: Ensure delivered solutions drive measurable business outcomes and enterprise adoption. Continuously evolve capabilities: Stay current on emerging AI trends, tools, and frameworks to embed innovation into the platform roadmap. Required Skills Analytical Excellence Strong problem-solving and structured thinking Experience with data modeling, metrics definition, and performance analysis Ability to synthesize complex data into actionable insights AI & Data Orientation (AI-first mindset) Deep understanding of AI/ML concepts, data platforms, and agentic systems Experience translating business use cases into AI-driven solutions Familiarity with modern AI stacks, data fabrics, and automation frameworks Cross-functional Leadership Proven ability to lead across product, engineering, data, UX, and business functions Strong stakeholder management and influencing skills without direct authority Experience driving alignment across global and matrixed organizations Execution & Program Management Expertise in operating models, prioritization frameworks, and governance Ability to manage complex, multi-stream programs with clear ownership and outcomes Communication & Storytelling Executive-level communication with a focus on clarity, outcomes, and decision enablement Qualifications Bachelor’s or Master’s degree in Engineering, Computer Science, Data Science, or related field Proven years of experience in program management, product management, or data/AI leadership roles Demonstrated experience leading enterprise-scale AI/Data initiatives Proven track record of delivering cross-functional programs with measurable business impact Experience working in global, matrixed environments with senior stakeholder engagement