Director of NAM AI Product & Deployment

For this U.S.

based position, the expected compensation range is $203,200.00 - $304,800.00 per year, which includes base pay and short-term incentive.

The compensation range for this full-time position applies to candidates located within the United States.

Our salary ranges are determined by reviewing roles of similar responsibility and level.

Within the salary range, individual pay is determined by several factors including performance, knowledge, job-related skills, experience, and relevant education or training.

Schneider Electric also offers a comprehensive benefits package to support our employees, inclusive of medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits) flexible work arrangements, paid family leaves, 401(k) + match, well-being and recognition (including service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro-rated in the first year of employment based on start date), opportunity to purchase company stock (eligibility depends on start date), and military leave benefits.

You must submit an online application to be considered for the position.

The Company will accept applications on an ongoing basis until the position is filled.

The Director of NAM AI Product and Delivery is a leadership role reporting to the VP of Operational Excellence.

This role is responsible for building and leading a team of AI product managers, project managers, and a change management team to ensure AI solutions are deployed to the organization and adopted to drive business value.

Key Responsibilities:

NAM AI Vision & Strategy:Define and drives thought-leadership for vision and strategy on AI-driven initiatives, ensuring alignment with NAM Business Goals.

Includes building systemic prioritization and value creation models.

Partners with integrated functions (Data office, Global AI, IT, Process) and internal comms to drive cultural change and upskilling of AI in NAM.

Product Lifecycle Management & Portfolio execution:Oversees 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.

Follows the Global AI risk and governance model.

Partners with the business to ensure successful adoption and user satisfaction.

Cross-Functional Leadership:Lead cross-functional teams, including engineering, analytics, data science, and business stakeholders, to ensure successful product integration and execution.

Includes working in an integrated way with E2E Process, Strategy, Digital and IT to ensure efficient operational model.

Prototyping and Experimentation:Drives rapid prototyping and experimentation to validate product hypotheses and iterate on solutions.

Stakeholder Collaboration & Risk Management:Collaborate with legal, risk management, data office and business units to ensure compliance and mitigate risks associated with AI pr...