Senior Product Manager, Data and AI Platforms

Posted 5 Hours Ago
Be an Early Applicant
Boston, MA, USA
In-Office
140K-180K Annually
Senior level
Real Estate • Financial Services
A focused approach - an entrepreneurial edge
The Role
Own the roadmap, discovery, delivery, governance, quality, and adoption of the firm’s data and AI platform. Translate investment, asset management, and finance needs into platform capabilities, specifications, metrics, acceptance criteria, and AI evaluations. Prototype with SQL and AI tools, coordinate engineers and vendors, validate releases, measure outcomes, maintain trusted data definitions, and communicate progress and risks to executives.
Summary Generated by Built In

About TA Realty LLC


Founded in 1982, TA Realty is an experienced and established real estate investment management firm. Since its inception, through June 30, 2025, TA Realty has acquired, invested and/or managed over $44 billion of real estate assets through core, core plus and value-add strategies and customized separate/advisory accounts. Leveraging deep expertise in acquiring, developing, managing, and selling real assets in the U.S., we focus on delivering value to investors and communities.


TA Realty manages core, core plus and value-add strategies and customized separate/advisory accounts for U.S. and non–U.S. investors.


For more information visit: www.tarealty.com


The Role

Every investment decision here runs on data. Our platform brings property, portfolio, and market information into one governed place, and AI changes how people use it every month. This role owns what we build next and why.

You will work with investment, asset management, and finance teams to find the problems worth solving. You will turn them into clear, testable definitions of done that engineers, vendors, and AI agents can build against. Then you will make sure people use what ships and that it keeps improving.

What you will own

  • Roadmap. Set the priorities for our data and AI platform, with clear tradeoffs and measurable outcomes.
  • Intake and discovery. Run one front door for requests. Turn one-off reporting asks into reusable platform capabilities.
  • Definitions of done. Write precise problem statements, metric definitions, and acceptance criteria, including evaluations for AI-generated outputs.
  • Prototypes. Use SQL and AI tools to test ideas against real data before engineering time is spent.
  • Quality and release. Own validation and release readiness with Data Engineering, and automate checks wherever possible.
  • Adoption. Define usage and outcome metrics, read the data, and act on it. Keep documentation and training current, using AI to draft and your judgment to approve.
  • Governance. Maintain source-of-truth definitions, permissions, and quality standards that investment professionals and auditors can trust.
  • Delivery rhythm. Keep a light, useful cadence with the Technology team, vendors, and stakeholders.
  • Executive visibility. Give leadership an honest view of progress, risks, and value delivered.

What success looks like

  • 90 days: you own the backlog, the intake process, and the core metric definitions, and you have shipped a release you specified.
  • 6 months: adoption, accuracy, and time to insight are measured and reported to leadership.
  • 12 months: requests become capabilities, and key metrics have one trusted definition across the firm.

What you bring

  • 6+ years in product management, technical program management, or analytics delivery, including 2+ years owning a data, analytics, or internal platform product.
  • A record of taking ambiguous business problems to shipped, adopted outcomes.
  • Working fluency in data. You can read a SQL query, spot a bad join, and discuss warehouse and BI design with engineers (we use BigQuery and Power BI).
  • Hands-on use of AI tools to prototype, draft specs, and evaluate outputs.
  • The ability to define success through metrics, acceptance tests, and evals.
  • Clear communication with executives and investment professionals, including the ability to simplify complex data concepts.
  • Comfort with Agile practices and modern work tools such as Linear, Asana, Confluence, Notion, or dbt.

Preferred

  • Experience in commercial real estate, asset management, or private markets.
  • Familiarity with data governance concepts such as semantic layers, data contracts, metadata, and permissions.
  • Experience with workflow automation or AI-enabled internal tools.
  • Experience acting as an internal product owner alongside vendors or consultants.

Education

Bachelor’s degree or equivalent practical experience, in any field. Certifications are welcome and never required.



EQUAL EMPLOYMENT OPPORTUNITY

TA Realty LLC is an Equal Opportunity Employer that is committed to creating a diverse and inclusive company culture believing it adds to the strength and vitality of our organization. TA Realty does not discriminate against candidates and employees on the basis of race, religion, national origin, age, veteran status, sexual orientation, or any other protected status under law.

Skills Required

  • 6+ years of experience in product management, technical program management, or analytics delivery
  • 2+ years owning a data, analytics, or internal platform product
  • Record of taking ambiguous business problems through shipped and adopted outcomes
  • Working fluency with data, including reading SQL, identifying bad joins, and discussing warehouse and BI design
  • Experience with BigQuery and Power BI
  • Hands-on use of AI tools for prototyping, drafting specifications, and evaluating outputs
  • Ability to define success through metrics, acceptance tests, and evaluations
  • Clear communication with executives and investment professionals
  • Comfort with Agile practices and modern work tools such as Linear, Asana, Confluence, Notion, or dbt
  • Bachelor's degree or equivalent practical experience
  • Experience in commercial real estate, asset management, or private markets
  • Familiarity with semantic layers, data contracts, metadata, and permissions
  • Experience with workflow automation or AI-enabled internal tools
  • Experience acting as an internal product owner alongside vendors or consultants
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The Company
HQ: Boston, MA
182 Employees
Year Founded: 1982

What We Do

Founded in 1982, TA Realty is an experienced and established real estate investment management firm. The Firm is headquartered in Boston, Massachusetts, with additional offices in Newport Beach, California, Dallas, Texas and San Francisco, California. Since its inception, as of June 30, 2023, TA Realty has acquired, invested and/or managed approximately $40 billion of real estate assets through core, core plus and value-add strategies and customized separate/advisory accounts. TA Realty’s investment philosophy focuses on creating diversified real estate portfolios that aim to generate strong cash flow, receive intensive asset management, and seek to achieve long-term value creation. For four decades, TA Realty has maintained this philosophy through multiple real estate and economic cycles, a strength recognized by pension funds, endowments, foundations, and high-net-worth individuals.

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