Senior Product Manager, Data and AI Platforms

TA Realty•Boston, MA

2d•$140,000 - $180,000

About The Position

The Senior Product Manager, Data and AI Platforms owns the roadmap and priorities for a governed data and AI platform that brings together property, portfolio, and market information. The role partners with investment, asset management, and finance teams to identify valuable problems, translate them into testable requirements and definitions of done, and ensure that delivered capabilities are adopted and continuously improved. The position leads request intake and discovery, turns recurring reporting requests into reusable platform capabilities, and defines problem statements, metrics, acceptance criteria, and evaluations for AI-generated outputs. It uses SQL and AI tools to prototype ideas against real data, owns validation and release readiness with Data Engineering, and promotes automated quality checks. The role also measures adoption and outcomes, maintains documentation and training, oversees trusted data definitions and governance, coordinates delivery with Technology, vendors, and stakeholders, and reports progress, risks, and value to leadership. Success involves taking ownership of the backlog, intake process, and core metric definitions; shipping a specified release; measuring adoption, accuracy, and time to insight; and establishing trusted, consistent definitions for key metrics across the firm. TA Realty LLC states that it is an Equal Opportunity Employer committed to a diverse and inclusive company culture and does not discriminate on the basis of protected status under law.

Requirements

At least 6 years of experience in product management, technical program management, or analytics delivery.
At least 2 years owning a data, analytics, or internal platform product.
A record of turning ambiguous business problems into shipped, adopted outcomes.
Working fluency with data, including the ability to read SQL, identify a bad join, and discuss warehouse and BI design with engineers.
Hands-on use of AI tools to prototype, draft specifications, and evaluate outputs.
Ability to define success through metrics, acceptance tests, and evaluations.
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.
Bachelor’s degree or equivalent practical experience in any field.

Nice To Haves

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.
Certifications are welcome but not required.

Responsibilities

Set priorities and tradeoffs for the data and AI platform roadmap, with measurable outcomes.
Manage a single intake process and discover opportunities to turn one-off reporting requests into reusable platform capabilities.
Write clear problem statements, metric definitions, and acceptance criteria, including evaluations for AI-generated outputs.
Use SQL and AI tools to prototype and test ideas with real data before committing engineering resources.
Own validation and release readiness with Data Engineering, automating quality checks where possible.
Define adoption and outcome metrics, review results, and take action based on them.
Keep platform documentation and training current, using AI to draft materials and applying judgment to approve them.
Maintain source-of-truth definitions, permissions, and quality standards trusted by investment professionals and auditors.
Coordinate delivery with the Technology team, vendors, and stakeholders using a useful delivery cadence.
Provide leadership with an accurate view of progress, risks, and value delivered.