Equifax · 13 hours ago
Technical Product Owner
Equifax is seeking an experienced and technically proficient Technical Product Owner to lead the development and growth of their foundational data platform. This role focuses on defining the vision, strategy, and execution roadmap for core data assets, ensuring data quality and scalability while collaborating with various teams to translate needs into robust platform features.
AnalyticsConsultingDatabase
Responsibilities
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
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
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
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
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
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
Qualification
Required
5-7 years of product owner/management experience in a data-intensive, cloud-based and/or SaaS environment
Demonstrated experience with data structures, data pipelines, SQL/NoSQL, and cloud data services (AWS/Azure/GCP)
Preferred
Demonstrated experience working with foundational data platforms is a plus
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
Company
Equifax
Equifax is a data, analytics, and technology company for automotive, healthcare, and insurance industries.
H1B Sponsorship
Equifax has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (236)
2024 (296)
2023 (209)
2022 (301)
2021 (213)
2020 (179)
Funding
Current Stage
Public CompanyTotal Funding
$1M2009-09-04Post Ipo Equity· $1M
1971-05-11IPO
Leadership Team
Recent News
2026-01-06
2025-12-20
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