Senior AI & Data Strategy Product Owner

EPC Eneric Petroleum Corp.; Phoenix (AZ); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

Premium benefits package

401K with company matching

Eleven paid holidays

Job summary

Cambridge is seeking a Senior Product Owner, AI & Data Strategy to define, build, and scale enterprise AI products while advancing trusted data foundations. This senior IC role bridges strategy and execution across Product, Technology, Data, Architecture, Governance, and Business teams to deliver measurable impact.

You will lead AI opportunities, MVPs, and roadmaps, while ensuring governance, privacy, and security considerations are embedded in product design and adoption plans.

Qualifications

• 5+ years of progressive product management or ownership in enterprise products or platforms.
• Experience delivering AI-powered or data-centric product initiatives with measurable outcomes.
• Ability to translate strategy into backlogs, features and user stories.
• Experience influencing stakeholders without direct authority.

Responsibilities

• Define and execute AI product strategies, roadmaps, and outcomes.
• Lead discovery, MVP development, launch planning, adoption, and iteration.
• Translate objectives into backlogs, features, stories, and success metrics.
• Collaborate with data teams to improve governance, quality, and readiness for AI use cases.
• Incorporate privacy, security, governance, and oversight into product design.
• Create executive-ready business cases and strategy communications.

Skills

Product management

Strategic thinking

Stakeholder influence

Analytics

AI strategy

Communication

Tools

Snowflake AI

Salesforce Agentforce

Salesforce Data Cloud

Einstein AI

Azure AI Services

Job description

Cambridge is seeking a Senior Product Owner, AI & Data Strategy to define, build, and scale enterprise AI products while advancing trusted data foundations. This senior IC role bridges strategy and execution across Product, Technology, Data, Architecture, Governance, and Business teams to deliver measurable impact.

You will lead AI opportunities, MVPs, and roadmaps, while ensuring governance, privacy, and security considerations are embedded in product design and adoption plans.