Senior Product Owner

Posted 3 Hours Ago
Be an Early Applicant
2 Locations
In-Office
Senior level
Financial Services
The Role
Leads enterprise AI product strategy, roadmaps, discovery, experimentation, MVP delivery, launches, adoption, and continuous improvement. Partners with data and cross-functional teams to improve governance, quality, lineage, accessibility, and AI readiness. Translates strategy into backlogs, user stories, metrics, and business cases while embedding responsible AI, privacy, compliance, security, and oversight requirements. Guides Snowflake and Salesforce AI initiatives and measures outcomes including adoption, productivity, efficiency, quality, and risk reduction.
Summary Generated by Built In
Job SummaryKey Deliverables and Responsibilities

At Cambridge, we believe technology should empower financial professionals, strengthen client outcomes, and create sustainable business value. We are seeking a Senior Product Owner, AI & Data Strategy to help define, build, and scale enterprise AI products while advancing the trusted data foundations that make those products successful.

This 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 
  • Vacation/sick time 
  • 401K retirement plan with company matching program 
  • Eleven paid holidays 

You can find more details about our comprehensive benefits package here.


Cambridge Overview:

Cambridge is a financial solutions firm that provides business support services to thousands of independent financial advisors. These advisors offer personalized investment services including wealth management, financial planning, and retirement services to individuals and families across the country.  Cambridge provides significant compliance, technology, and transaction processing support to these financial advisors and their offices. 

Skills Required

  • 5+ years of progressive experience in product management, product ownership, digital product, data product, analytics, or a related field
  • 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, retrieval-augmented generation, AI agents, prompt engineering, model evaluation, and AI observability
  • Strong understanding of enterprise data management, including governance, quality, lineage, metadata, privacy, and access controls
  • Ability to influence stakeholders without direct authority and communicate with technical and non-technical audiences
  • Strong analytical, prioritization, and business case development skills
  • Experience supporting organizational change and user adoption initiatives
  • 8+ years spanning product strategy, AI product delivery, and data strategy
  • Financial services, wealth management, broker-dealer, registered investment adviser, 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
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The Company
HQ: Cambridge
1,096 Employees
Year Founded: 1981

What We Do

Do you control your journey? Are you independent? At Cambridge, we are business innovators, financial planners, wealth advisors, business builders, next generation, retirement planners, visionaries, investment advisors, succession planners, entrepreneurs, and business owners. We believe clients come first, and we all need the freedom to customize our businesses, our way, to best serve our clients. Visit joincambridge.com to learn more. We believe every journey is important. We are independent. We are Cambridge. Visit youcontrolthejourney.com to see more about who we are, what we do, and why we do it. Securities offered through Cambridge Investment Research, Inc., a broker-dealer, Member FINRA/SIPC and Investment Advisory Services offered through Cambridge Investment Research Advisors, Inc., a Registered Investment Adviser. Both are wholly-owned subsidiaries of Cambridge Investment Group, Inc. Cambridge and its predecessor broker-dealer was founded in 1981.

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