Role Overview
Required Skills
Qualifications
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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.
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