Product Manager, DX GenAI Delivery at Mars
Slough SL1 4LG, , United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

30 Aug, 25

Salary

0.0

Posted On

31 May, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

JOB DESCRIPTION:

The Digital Experiences department and function from Digital Technologies, Mars Global Services (MGS) lead the digital growth and digitalization efforts as a shared services group within Mars, Incorporated to all our segments.
Digital Experiences thrives to ensure all experiences (web, mobile, conversational, spatial/immersive, and GenAI) across our digital channels whereas Associates (B2E), suppliers/customers (B2B) or consumers (B2C), commerce or not, meet external regulations and internal policies, standards, and guidelines. Digital Experiences also provides the enterprise core central shared technologies capabilities and services to power these experiences and empower Associates from design to development, deployment, operations, and actionable insights topped with learning & development resources.
Within Mars, as GenAI technology transitions from experimentation to scalable enterprise value, solving many business problems, there is a critical need for focused product leadership to translate business needs into tangible GenAI-powered solutions within the enterprise platform. The Product Manager, DX GenAI Delivery plays a vital role in accelerating the deployment of high-impact use cases—such as AI-powered applications and agents—on approved Mars AI Platforms. This role ensures that GenAI aligns with Responsible AI, governance, ethical standards, and platform capabilities.
By orchestrating cross-functional teams, managing delivery pipelines, and continuously prioritizing based on business value, this role bridges the gap between platform potential and business outcomes. Without a dedicated product leader, organizations risk fragmented execution, inconsistent user experiences, and delayed time-to-value for GenAI investments. This role is essential to scale GenAI delivery across the enterprise, ensuring Mars delivers responsible, impactful, and measurable digital transformation through AI.

Responsibilities
  • Use Case Delivery Leadership: Own the end-to-end delivery of GenAI use cases—including applications, agents, and copilots—built on Mars-approved GenAI platforms, ensuring timely, value-driven execution across business segments.
  • Product Lifecycle Management: Manage the full product lifecycle for GenAI solutions, from ideation and prioritization to deployment and iteration, ensuring alignment with business goals and platform capabilities.
  • Cross-Functional Orchestration: Partner with business stakeholders, data science teams, developers, and platform operations to translate user needs into scalable, governed GenAI products.
  • Backlog & Roadmap Ownership: Maintain and groom a dynamic backlog of GenAI use cases, continuously prioritizing based on strategic value, feasibility, and alignment with enterprise AI governance.
  • Stakeholder Engagement & Communication: Serve as the single point of contact for business segments, enterprise, and corporate teams regarding the delivery status, roadmap, and adoption strategy for GenAI-powered solutions.
  • Governance & Compliance Alignment: Ensure all GenAI use cases meet standards for Responsible AI, data privacy, and ethical deployment, in collaboration with the GenAI COE, Enterprise Architecture, Digital Assurance, Legal, and Data Privacy teams.
  • User Experience & Adoption Focus: Champion intuitive, impactful user experiences by integrating feedback loops, piloting solutions with target users, and driving change management to encourage adoption.
  • Platform Enablement & Fit: Collaborate with platform teams (e.g., Mars AI Experiences, Azure AI Foundry, Google Vertex AI) to ensure GenAI use cases leverage appropriate infrastructure, APIs, models, and capabilities for optimal performance.
  • Impact Tracking & Optimization: Define success metrics for each GenAI deployment, track performance against KPIs, and lead continuous improvement based on insights and user feedback.
  • Innovation & Scaling: Identify opportunities to scale successful use cases, templatize reusable components, and drive a repeatable model for GenAI delivery across Mars.
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