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Schneider Electric USA, Inc

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Director of NAM AI Product & Deployment (Finance)



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:

  1. 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.
  2. 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.
  3. 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.
  4. Prototyping and Experimentation: Drives rapid prototyping and experimentation to validate product hypotheses and iterate on solutions.
  5. Stakeholder Collaboration & Risk Management: Collaborate with legal, risk management, data office and business units to ensure compliance and mitigate risks associated with AI products.
  6. Talent Development: Defines and executes strategic workforce plan for own scope including talent upskilling, talent development, and new capability building (change management team)

Qualifications:
  • AI Product Management & PMO Experience: Proven experience in AI product management, including experience building products from concept to go-to market and continuous improvement. Proven results managing digital/ technical projects and transformations.
  • Technical Expertise: Strong understanding of AI/ML technologies and applications, including technical acumen to translate complex technical concepts into product requirements.
  • Data Driven: Data driven mindset with focus on using KPIs to measure product performance and business value
  • Talent Builder: Must have people management experience, including developing & leading a High-Performance Team
  • Analytical Skills: Strong analytical and data background

Critical Skills:
  • Entrepreneurial Mindset & Decisiveness
  • Business & Financial Acumen
  • Strategic Vision & Thinking
  • Stakeholder management
  • Executive communication

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric - apply today!

€36 billion global revenue
+13% organic growth
150 000+ employees in 100+ countries
#1 on the Global 100 World's most sustainable corporations

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct. 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 products.
  • Talent Development: Defines and executes strategic workforce plan for own scope including talent upskilling, talent development, and new capability building (change management team)

  • Qualifications:
    • AI Product Management & PMO Experience: Proven experience in AI product management, including experience building products from concept to go-to market and continuous improvement. Proven results managing digital/ technical projects and transformations.
    • Technical Expertise: Strong understanding of AI/ML technologies and applications, including technical acumen to translate complex technical concepts into product requirements.
    • Data Driven: Data driven mindset with focus on using KPIs to measure product performance and business value
    • Talent Builder: Must have people management experience, including developing & leading a High-Performance Team
    • Analytical Skills: Strong analytical and data background

    Critical Skills:
    • Entrepreneurial Mindset & Decisiveness
    • Business & Financial Acumen
    • Strategic Vision & Thinking
    • Stakeholder management
    • Executive communication
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