Job SummaryKey Deliverables and ResponsibilitiesThis is a senior individual contributor opportunity for an experienced product leader who can bridge strategy and execution, identify meaningful AI opportunities, and collaborate across Product, Technology, Data, Architecture, Governance, and Business teams to deliver measurable impact.
What You'll Do- Define and execute AI product strategies, roadmaps, and measurable business outcomes.
- Evaluate, prioritize, and guide enterprise AI opportunities based on customer value, business impact, data readiness, feasibility, and risk.
- Lead product discovery, experimentation, MVP development, launch planning, adoption, and continuous improvement initiatives.
- Translate strategic objectives into well-defined product backlogs, features, user stories, and success metrics.
- Partner with data teams to improve data quality, governance, accessibility, lineage, and readiness for AI use cases.
- Support responsible AI practices by incorporating privacy, compliance, security, governance, and human oversight requirements into product design.
- Collaborate on Snowflake AI capabilities, Salesforce Agentforce initiatives, and related AI-driven innovations.
- Create executive-ready business cases, roadmap recommendations, performance scorecards, and strategy communications.
- Drive stakeholder alignment and influence decision-making across cross-functional teams.
- Measure product success through business outcomes such as adoption, efficiency gains, productivity improvements, quality enhancements, and risk reduction.
What We Are Looking For- 5+ years of progressive product management, product ownership, digital product, data product, analytics, or related experience.
- Proven experience leading product strategy, roadmaps, backlogs, and delivery for complex enterprise products or platforms.
- Experience delivering AI-powered, machine learning, advanced analytics, intelligent automation, or workflow solutions.
- Working knowledge of generative AI, large language models (LLMs), retrieval-augmented generation (RAG), AI agents, prompt engineering, model evaluation, and AI observability.
- Strong understanding of enterprise data management practices, including governance, quality, lineage, metadata, privacy, and access controls.
- Demonstrated ability to influence stakeholders without direct authority and communicate effectively with technical and non-technical audiences.
- Strong analytical, prioritization, and business case development skills.
- Experience supporting organizational change and user adoption initiatives.
Preferred Qualifications- 8+ years of experience spanning product strategy, AI product delivery, and data strategy.
- Financial services, wealth management, broker-dealer, registered investment adviser (RIA), or regulated industry experience.
- Experience with Snowflake AI, Salesforce Agentforce, Salesforce Data Cloud, Einstein AI, Azure AI Services, or comparable platforms.
- Exposure to AI governance, privacy, security, model risk management, or responsible AI programs.
- Relevant product management, AI, data management, Snowflake, Salesforce, or Microsoft certifications.
Why Cambridge?Cambridge has competitive benefits and promotes a work/life balance to encourage individual success.
- Premium benefit package including medical, vision, dental, life and long-term disability insurance
- 401K retirement plan with company matching program
You can find more details about our comprehensive benefits package here.
