Technical Product Owner

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds,  and make a meaningful impact, we want to hear from you.

We are seeking an experienced and technically proficient Technical Product Owner to lead the development and growth of our foundational data platform, with a critical focus on entity resolution (ER) and data linking capabilities. You will operate independently to define the vision, strategy, and execution roadmap for core data assets that power identity, customer mastering, and complex analytics across the business. This role requires translating the needs of data scientists, analysts, internal business units, and downstream product teams into robust platform features, ensuring data quality, lineage, and scale.

AI Capability Assessment & Business Alignment

• Provides inputs to the overall Opportunity Assessment specifically for Gen AI, embedding, and large language model (LLM) product capabilities.

• Identify AI-driven customer needs by partnering with Business Product Managers and internal stakeholders, focusing on opportunities for intelligent automation, content generation, and enhanced search systems.

• Participate in the evaluation of the competitive landscape, market trends, and industry research (e.g., foundation model advancements) to articulate high-potential AI product capability opportunities.

• Conduct market validation, testing Gen AI concepts and prototypes with internal users.

Data Capability Assessment & Stakeholder Needs

• Provides inputs to the overall Opportunity Assessment specifically for entity resolution, master data management, and data quality platform capabilities.

• Identify foundational data needs by partnering with Data Science, Analytics, Technology, and Business Product teams.

• Participate in the evaluation of vendor solutions and competitive landscapes for data linking, fuzzy matching, and graph database technologies.

• Conduct validation of new data sources and ER methodologies to ensure they meet the quality, privacy, and performance thresholds required by the business.

Platform Vision & Data Strategy

• Provides inputs in product strategy and planning sessions, specifically outlining the strategic role of the foundational data platform in driving accurate identity and entity-centric data views.

• Understand and communicate the data platform vision, connecting it to the larger strategy for data governance, quality, and enterprise data assets.

• Provides inputs to connect execution KPIs (e.g., entity link rate, match confidence score, data latency) with strategic business goals.

Product Definition & Platform Roadmap

• Define the product backlog for the entity resolution platform, prioritizing features like data ingestion pipelines, standardization rules, matching algorithms, and resolution services.

• Supports the development of business cases for platform enhancements, defining scope, projected ROI (e.g., reduced data errors, increased match accuracy), capacity planning, and resource needs.

• Define and maintain the platform roadmap, ensuring dependencies on infrastructure, data governance, and privacy teams are clearly documented.

• Provides inputs to determine delivery increments that balance architectural robustness with speed-to-market for critical data capabilities.

Platform Delivery & Data Engineering Collaboration

• Provide technical requirements for platform development, including specifications for data schemas, APIs, data ingestion mechanisms (e.g., streaming/batch), and entity linking logic.

• Articulate and document how specific data requirements connect to the business 'WHY' (e.g., "This new linkage feature is necessary to unify customer records across systems X, Y, and Z").

• Collaborate closely with Data Engineering, Data Architecture, and Datascience teams to identify and document technical trade-offs regarding storage, computation, scale, and performance.

• Work with Legal & Compliance and Data Governance teams to ensure the platform adheres to data residency, privacy, and lineage requirements.

• Collect and process feedback from internal users (Data Scientists, Analysts) to rapidly iterate on platform features and data quality improvements.

Growth & Portfolio Management

• Monitor platform adoption and data usage patterns across various internal teams.

• Track, monitor, and ensure effective performance of the platform, focusing specifically on data quality metrics (completeness, accuracy) and operational costs.

Collect, analyze, and interpret performance data to drive platform lifecycle decisions, including technology upgrades, data source integration, and sunset planning for deprecated data services.

• Required Experience

• 5-7 years of product owner/management experience in a data-intensive, cloud-based and/or SaaS environment.

• Demonstrated experience working with foundational data platforms is a plus.

• Demonstrated experience with data structures, data pipelines, SQL/NoSQL, and cloud data services (AWS/Azure/GCP).

• Bachelor's degree in a related discipline (Computer Science, Engineering, Data Science) strongly preferred; equivalent experience may be considered.

• Cloud certification is strongly preferred.

• Technical Knowledge of Data Platforms: Deep understanding of data ingestion, processing, storage, and retrieval architectures.

• Technology Requirements Analysis: Works with data stakeholders to translate complex data needs into clear, actionable platform requirements.

• Technical Advising and Consulting: Ability to communicate complex data architecture decisions and trade-offs to technical and non-technical audiences.

• Building a Business Case: Ability to quantify the value, scope, and resource needs for data platform enhancements.

• Product Mindset and Discipline: General understanding of Agile development and product lifecycle management principles applied to data infrastructure.

We offer comprehensive compensation and healthcare packages, 401k matching, paid time off, and organizational growth potential through our online learning platform with guided career tracks.

Are you ready to power your possible?  Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!

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