Lead Technical Program Manager– Data & Analytics

Role Overview

Drive enterprise-scale AI-firstinitiatives by combining strong analytical rigor with cross-functionalleadership to deliver business impact. Lead strategy, execution, and adoptionof 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