Product Owner, Identity

Posted 2 Days Ago
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Columbia, MD, USA
In-Office
135K-230K Annually
Expert/Leader
Database • Analytics
The Role
Own the identity product strategy and roadmap for Latis, including its Network Reference Graph proof of concept, Identity Graph, and integrations with external identity providers. Define requirements for identity resolution, matching, graph construction, interoperability, and data connectivity. Lead cross-functional execution with integration engineering, data science, and AI teams; manage technical roadmaps, POCs, risks, and partner integrations. The role may also guide tag management strategy and build-versus-buy evaluations.
Summary Generated by Built In
Company Description

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com.

Job Description

We are seeking a Product Owner, Identity to lead the full identity workstream for Latis, including the Network Reference Graph POC, the Latis Identity Graph, and integration of external identity providers into the Latis identity spine

Qualifications

This is a highly technical, cross-functional product leadership role responsible for defining the identity strategy, roadmap, requirements, and execution plan across multiple teams. The Product Owner will work closely with Integration Engineering, Data Science, and AI Engineering to build an identity foundation that enables Latis to connect, resolve, and activate identities across data sources and platforms.

The ideal candidate brings deep experience in identity resolution, identity graphs, and identity ecosystems, with familiarity across leading identity providers and identity spines such as Blockgraph, TransUnion, RampID, and UID2. They will understand the complexities of identity interoperability and be able to translate those complexities into a clear technical roadmap and executable product plan.

This role will also have the opportunity to influence tag management strategy, including evaluating build-versus-buy options for a tag management solution.

Key Responsibilities

  • Own the end-to-end identity workstream roadmap and product strategy for Latis.
  • Define product vision, requirements, priorities, milestones, and execution plans for the Latis identity ecosystem.
  • Lead the development and execution of the Network Reference Graph POC, including scope, requirements, success criteria, and roadmap.
  • Lead development of the Latis Identity Graph and its role within the broader Latis data ecosystem.
  • Define the strategy and requirements for integrating external identity providers and identity spines into Latis.
  • Drive interoperability with major identity providers, including Blockgraph, TransUnion, RampID, and UID2.
  • Establish requirements for identity resolution, matching, graph construction, identity enrichment, and data connectivity.
  • Partner closely with Integration Engineering, Data Science, and AI Engineering to translate product requirements into technical solutions and execute against the roadmap.
  • Coordinate cross-functional POCs, testing, technical validation, and implementation plans.
  • Identify dependencies, technical risks, and integration challenges across the identity workstream and drive resolution.
  • Ensure the Latis identity architecture can support evolving industry standards, identity providers, and partner requirements.
  • Serve as the primary product point of contact for identity-related requirements, priorities, and roadmap decisions.
  • Evaluate opportunities to enhance the identity ecosystem through strategic partnerships, technology integrations, or third-party solutions.
  • Bonus: Define a tag management strategy, including conducting a build-versus-buy assessment and developing recommendations for a tag management solution.

Required Qualifications

  • 8–10 years of relevant product management experience, with significant experience owning technical data, identity, or platform products.
  • Demonstrated experience leading identity resolution, identity graph, identity spine, or identity infrastructure products.
  • Strong understanding of the identity ecosystem and experience working with major identity providers such as Blockgraph, TransUnion, RampID, UID2, or comparable solutions.
  • Experience developing and driving multi-team technical roadmaps, including POCs and complex platform integrations.
  • Strong understanding of identity resolution concepts, including matching, graph-based identity relationships, identifiers, and identity interoperability.
  • Experience translating complex technical requirements into clear product specifications and executable development plans.
  • Proven ability to work effectively with integration engineers, data scientists, AI engineers, and other technical teams.
  • Strong cross-functional leadership skills with the ability to drive alignment across teams with different technical priorities.
  • Experience managing external technology or data-provider integrations.
  • Strong written and verbal communication skills, including the ability to communicate complex identity concepts to both technical and business stakeholders.

Preferred Qualifications

  • Experience in adtech, martech, media, audience data, identity, or data collaboration.
  • Experience with identity products supporting advertising, audience activation, measurement, or media applications.
  • Familiarity with identity standards, privacy-enhancing technologies, and the evolving identity landscape.
  • Experience working with multiple identity graphs or identity spines and managing interoperability across providers.
  • Experience with tag management platforms and/or data collection architectures.
  • Experience evaluating build-versus-buy decisions for technical products or platforms.
  • Experience working with APIs, data pipelines, cloud data platforms, and distributed data architectures.

Core Competencies

  • Identity Resolution & Identity Graphs
  • Identity Product Strategy
  • Technical Product Management
  • Identity Provider Integration
  • Data Architecture & Interoperability
  • Technical Roadmapping & POC Leadership
  • Cross-Functional Technical Leadership
  • Adtech / Martech Ecosystem
  • Partner & Platform Integrations
  • Build vs. Buy Strategy

Additional Information

The starting pay range for this role is  $135,000 - $230,000 Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs. 

Skills Required

  • 8-10 years of relevant product management experience
  • Significant experience owning technical data, identity, or platform products
  • Experience leading identity resolution, identity graph, identity spine, or identity infrastructure products
  • Experience with identity providers such as Blockgraph, TransUnion, RampID, UID2, or comparable solutions
  • Experience developing and driving multi-team technical roadmaps, including POCs and complex platform integrations
  • Strong understanding of identity resolution, matching, graph-based relationships, identifiers, and interoperability
  • Experience translating technical requirements into product specifications and executable development plans
  • Experience collaborating with integration engineers, data scientists, AI engineers, and technical teams
  • Strong cross-functional leadership skills
  • Experience managing external technology or data-provider integrations
  • Strong written and verbal communication skills
  • Experience in adtech, martech, media, audience data, identity, or data collaboration
  • Experience with identity products supporting advertising, audience activation, measurement, or media applications
  • Familiarity with identity standards, privacy-enhancing technologies, and the evolving identity landscape
  • Experience with multiple identity graphs or identity spines and interoperability management
  • Experience with tag management platforms or data collection architectures
  • Experience evaluating build-versus-buy decisions for technical products or platforms
  • Experience with APIs, data pipelines, cloud data platforms, and distributed data architectures

Blend360 Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Blend360 and has not been reviewed or approved by Blend360.

  • Fair & Transparent Compensation Pay is considered fair-to-good by many, and public salary postings for common data roles indicate competitive packages in numerous markets. Feedback suggests overall company sentiment aligns with acceptable compensation relative to peers in consulting and analytics.
  • Flexible Benefits Flexible and remote/hybrid work arrangements are consistently highlighted in official materials and role descriptions. Feedback suggests flexibility is a meaningful part of the total rewards experience.
  • Retirement Support A 401(k) with company match is part of the core package. Feedback suggests retirement offerings are standard and contribute to a complete benefits set.

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The Company
HQ: Columbia, MD
390 Employees
Year Founded: 2016

What We Do

Our Vision is to build a company of world-class people that helps our clients optimize business performance through data, technology and analytics. Blend360 has two divisions: Data Science Solutions: We work at the intersection of data, technology and analytics. Talent Solutions: We live and breathe the digital and talent marketplace.

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