Key Responsibilities:

Enterprise AI Strategy & Governance

• Develop and execute an enterprise AI roadmap aligned to business priorities and corporate transformation objectives.

• Establish AI governance frameworks, including:

• Responsible AI principles

• Data privacy and security considerations

• AI risk management

• Technology evaluation standards

• Prioritization and investment frameworks

• Create an operating model for identifying, evaluating, piloting, and scaling AI opportunities.

• Partner with executive leadership to define where AI can create measurable business value.

Corporate AI Enablement & Productivity

• Identify and implement AI solutions across corporate functions including:

• Finance

• Human Resources

• Legal

• Procurement

• Marketing

• Operations

• Administrative functions

• Drive adoption of AI tools that improve employee productivity, automate manual workflows, accelerate insights, and enhance decision-making.

• Evaluate opportunities for AI-powered:

• Knowledge management

• Document intelligence

• Employee assistants

• Workflow automation

• Reporting and analytics

• Process optimization

• Define success metrics and measure business impact from AI investments.

AI Product Management & Innovation

• Lead the product lifecycle for enterprise AI capabilities, from opportunity discovery through implementation and scaling.

• Translate business challenges into AI-enabled solutions by partnering with technology, data, and functional leaders.

• Manage experimentation through proofs of concept, pilots, and innovation initiatives.

• Evaluate emerging AI capabilities and external technologies to determine strategic relevance.

Cross-Functional Leadership

• Serve as the connector between business leaders, technology teams, data teams, and AI partners.

• Build partnerships with internal teams and external AI providers.

• Establish AI literacy and enablement programs to accelerate adoption.

• Create a culture of innovation, experimentation, and continuous improvement.

Qualifications & Experience

• 8–10+ years of experience in digital product management, product strategy, and AI leadership, ideally within digital products or consumer ecosystems.

• Demonstrated success building or scaling AI across an enterprise.

• Strong technical fluency in AI/ML model deployment and governance frameworks.

• Proven ability to lead and inspire teams, manage cross-functional initiatives, and deliver measurable business impact through data.

• Excellent storytelling and communication skills, with a track record of influencing at executive levels.

• Deep passion for transforming data into personalized, immersive customer experiences.

Professional Skills

• Build, mentor, and lead a cross-functional team of data product managers, analysts, and engineers to deliver on the data platform vision.

• Foster an Agile, high-performance culture that values experimentation, collaboration, and rapid results.

• Partner closely with engineering and AI research leaders to prioritize initiatives that maximize value from data investments.

• Act as a bridge between technical and business stakeholders, translating complex data capabilities into clear business outcomes.

• Stay at the forefront of data, AI, and machine learning trends- continuously identifying opportunities to apply emerging technologies for competitive advantage.