Current jobs related to Sr. Director of Digital Innovation and Enterprise AI - New York, New York - Peloton

As the Sr Director of Digital Innovation and Enterprise AI within the CIO organization, you will be a strategic leader responsible for defining, driving, and governing Peloton's enterprise-wide artificial intelligence and digital innovation strategy. This high-impact role requires a blend of visionary leadership, deep technical fluency in AI/ML, and strong business acumen to identify and execute on opportunities that optimize internal operations, enhance our iconic member experiences, and accelerate business growth. 

Strategy & Vision

• Develop and Execute the Enterprise AI Roadmap: Define a multi-year strategy and execution roadmap for the responsible and ethical adoption of AI/ML, Generative AI, and other emerging digital technologies across all enterprise functions (e.g., Supply Chain, Member Support, Finance, and People/HR).
• Identify High-Value Use Cases: Partner with business leaders across the company to identify, prioritize, and champion high-impact AI use cases that deliver measurable business value, from productivity gains to new member features.
• Innovation Portfolio Management: Establish and manage an innovation pipeline, moving concepts from incubation and proof-of-value to scalable, production-ready solutions, ensuring alignment with Peloton's strategic imperatives.

Governance & Operations

• Establish AI Governance Frameworks: Define and implement robust AI Governance and Responsible AI frameworks, standards, and policies to ensure that all AI initiatives are ethical, secure, compliant (e.g., with data privacy laws), and align with enterprise risk management.
• Platform and Architecture: Collaborate with the business units and Enterprise Architecture teams to define the foundational AI/ML and data platforms, tools, and infrastructure necessary to support the scaling of enterprise AI capabilities.
• Agentic AI Use Cases: Own the technology roadmap for enterprise AI initiatives including but not limited to agentic AI workflows.

Leadership & Change Management

• Cross-Functional Orchestration: Serve as the primary liaison and strategic partner, aligning efforts and managing dependencies between the CIO organization, Product, Engineering, Legal, and core Business Units.
• Build an AI-Fluent Culture: Drive the organizational and cultural change management required for broad AI adoption, promoting AI literacy, developing training, and communicating the value and impact of digital innovation to both technical and non-technical stakeholders, up to the executive level.
• Team Leadership: Lead, mentor, and build a high-performing team of specialists (e.g., AI Product Managers, Data Innovators, Change Managers) focused on delivering the digital and AI vision.

• Experience: 10+ years of progressive experience in technology, digital transformation, data science, or AI/ML, with at least 5 years in a senior leadership role driving enterprise-level strategy and execution.
• Technical Expertise: Deep understanding of AI/ML technologies, including Generative AI, large language models (LLMs), predictive analytics, and their practical application in a large-scale, consumer-facing enterprise.
• Business Acumen: Proven track record of translating complex technological concepts into clear business objectives, measurable KPIs, and demonstrated financial value.
• Strategic & Operational: Experience in defining and implementing AI governance frameworks, MLOps, and managing the end-to-end lifecycle of AI products.
• Leadership: Exceptional ability to lead and influence across a complex, cross-functional organization, build high-trust relationships with executive stakeholders, and champion change.
• Education: Bachelor's degree in Computer Science, Engineering, Data Science, or a related quantitative field. A Master's degree is highly desirable.

• Experience in the fitness, wellness, subscription, or e-commerce industries.
• A background in management consulting or a similar role focused on large-scale, technology-driven business transformation.
• Hands-on experience with cloud-based AI platforms (e.g., AWS, GCP, Azure).

#LI-JS2 #LI-Hybrid

The base salary range represents the low and high end of the anticipated salary range for this position based at our New York City headquarters. The actual base salary offered for this position will depend on numerous factors including, without limitation, experience and business objectives and if the location for the job changes. Our base salary is just one component of Peloton's competitive total rewards strategy that also includes annual equity awards and an Employee Stock Purchase Plan as well as other region-specific health and welfare benefits.

As an organization, one of our top priorities is to maintain the health and wellbeing for our employees and their family. To achieve this goal, we offer robust and comprehensive benefits including:

• Medical, dental and vision insurance 
• Generous paid time off policy
• Short-term and long-term disability
• Access to mental health services
• 401k, tuition reimbursement and student loan paydown plans
• Employee Stock Purchase Plan
• Fertility and adoption support and up to 18 weeks of paid parental leave 
• Child care and family care discounts
• Free access to Peloton Digital App and apparel and product discounts
• Commuter benefits and Citi Bike Discount
• Pet insurance and so much more

ABOUT PELOTON:

Peloton (NASDAQ: PTON) provides Members with expert instruction, and world class content to create impactful and entertaining workout experiences for anyone, anywhere and at any stage in their fitness journey. At home, outdoors, traveling, or at the gym, Peloton brings together innovative hardware, distinctive software, and exclusive content. Founded in 2012 and headquartered in New York City, Peloton has millions of Members across the US, UK, Canada, Germany, Australia, and Austria. For more information, visit

Peloton is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. Equal employment opportunity has been, and will continue to be, a fundamental principle at Peloton, where all team members, applicants, and other covered persons are considered on the basis of their personal capabilities and qualifications without discrimination because of race, color, religion, sex, age, national origin, disability, pregnancy, genetic information, military or veteran status, sexual orientation, gender identity or expression, marital and civil partnership/union status, alienage or citizenship status, creed, genetic predisposition or carrier status, unemployment status, familial status, domestic violence, sexual violence or stalking victim status, caregiver status, or any other protected characteristic as established by applicable law. This policy of equal employment opportunity applies to all practices and procedures relating to recruitment and hiring, compensation, benefits, termination, and all other terms and conditions of employment.  If you would like to request any accommodations from application through to interview, please email:

At Peloton, we embrace technology, including AI, to enhance productivity and accelerate innovation in the work we do for our members. However, in our hiring process, our priority remains in getting to know you and your unique qualifications. To ensure a fair and equitable process, we do not permit the use of AI tools during any stage of the application and interview process. In considering you as an applicant, we want to understand your skills, experiences, and motivations without mediation through an AI system. We also want to directly assess your communication skills without the use of an AI tool. 

Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act, the City of Los Angeles Fair Chance Initiative for Hiring Ordinance and the San Francisco Fair Chance Ordinance, as applicable to applicants applying for positions in these jurisdictions.

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