Director of NAM AI Product & Deployment

About the Role

Key Responsibilities

• Define and drive thought-leadership for vision and strategy on AI-driven initiatives, ensuring alignment with NAM Business Goals.
• Build systemic prioritization and value creation models.
• Partner with integrated functions (Data office, Global AI, IT, Process) and internal communications to drive cultural change and upskilling of AI in NAM.
• Oversee the AI use case lifecycle in partnership with Global AI Hub and Spokes, from ideation and development to deployment and updates, ensuring timely delivery and quality.
• Follow the Global AI risk and governance model.
• Partner with the business to ensure successful adoption and user satisfaction.
• Lead cross-functional teams, including engineering, analytics, data science, and business stakeholders, to ensure successful product integration and execution.
• Work in an integrated way with E2E Process, Strategy, Digital, and IT to ensure efficient operational models.
• Drive rapid prototyping and experimentation to validate product hypotheses and iterate on solutions.
• Collaborate with legal, risk management, data office, and business units to ensure compliance and mitigate risks associated with AI products.
• Define and execute strategic workforce plans including talent upskilling, talent development, and capability building (change management team).

Requirements

• Proven experience in AI product management, including building products from concept to go-to-market and continuous improvement.
• Experience managing digital/technical projects and transformations.
• Strong understanding of AI/ML technologies and applications, with the ability to translate complex technical concepts into product requirements.
• Data-driven mindset with focus on using KPIs to measure product performance and business value.
• People management experience, including developing and leading a high-performance team.
• Strong analytical and data background.
• Entrepreneurial mindset and decisiveness.
• Business and financial acumen.
• Strategic vision and thinking.
• Stakeholder management.
• Executive communication skills.

Nice to Have

• Experience with AI/ML technologies and applications.
• Experience in building and managing AI products from concept to deployment.
• Experience in change management and talent development.

Qualifications

• No specific formal educational qualifications are explicitly mentioned in the description.

Benefits & Perks

• Competitive compensation range of $203,200.00 - $304,800.00 per year, including base pay and short-term incentive.
• Comprehensive benefits package including medical (with member reward points), dental, vision, and basic life insurance.
• Benefit Bucks (credits to apply towards benefits).
• Flexible work arrangements.
• Paid family leaves.
• 401(k) + match.
• Well-being and recognition programs (including service anniversary).
• 12 holidays per year.
• 15 days of paid time off per year (pro-rated in the first year).
• Opportunity to purchase company stock (eligibility depends on start date).
• Military leave benefits.