Mexico, MexicoContractSeniorPosted 1mo ago
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