Job description

Advance your product career while helping shape how digital identity works at scale. You’ll collaborate across technology, design, and business to deliver secure, high-impact capabilities. As a Senior Product Associate within Identity Lifecycle Management , you will help develop and deliver products supporting identity verification, identity lifecycle management, and digital identity solutions. You’ll work cross-functionally to launch capabilities, synthesize feedback, and drive improvements that increase adoption and measurable outcomes. Job responsibilities • Partner with leaders to shape product vision, strategy, and execution plans across identity verification, identity resolution, identity graph, and consent management • Build, launch, and continuously improve identity data capabilities to strengthen adoption, quality, and business impact • Collaborate with technology, design, modeling, and other partners to deliver scalable, secure identity data solutions • Align roadmaps and dependencies with related identity and data teams to enable integrated delivery • Define and track key performance metrics for product health, data quality, and business outcomes, using insights to prioritize improvements • Establish and champion data governance standards, policies, and controls for the identity data domain • Ensure identity data products meet applicable data privacy expectations, internal policies, and audit requirements • Communicate strategy, risks, tradeoffs, and outcomes to senior stakeholders with clarity and strong executive presence • Identify and manage risks related to data quality, access, privacy, and security within the identity data domain • Stay current on industry trends and emerging technologies to inform product direction and roadmap evolution Required qualifications, capabilities, and skills • 3 years of experience in identity, data management, or related technology domains • Practical knowledge of identity verification, identity resolution, identity graph concepts, and consent management • Strong analytical skills and a data-driven approach to prioritization and decision-making • Strong collaboration and stakeholder management skills across technical and non-technical partners • Demonstrated ability to develop and execute product roadmaps that deliver measurable business and risk outcomes • Technical fluency with modern data platforms, cloud-based architectures, and data pipeline technologies • Understanding of data governance frameworks, data privacy obligations, and compliance expectations relevant to identity data • Excellent written and verbal communication skills, including translating complex technical topics for diverse audiences • Bachelor’s degree in Computer Science, Information Systems, Engineering, or related discipline, or equivalent professional experience Preferred qualifications, capabilities, and skills • Experience building and launching complex technology products in financial services or other regulated industries • Familiarity with identity and access management standards, protocols, and frameworks • Understanding of applying machine learning techniques to identity, fraud, or risk use cases • Awareness of graph-based data models and their use in identity resolution and relationship mapping • Hands-on experience with agile product development practices at enterprise scale Applicants must be authorized to work for any employer in the US. We are not able to provide immigration sponsorship or take over sponsorship of an employment visa at this time. Final job grade level and corporate title will be determined at time of offer and may differ from this posting. Build and scale secure digital identity capabilities by partnering across teams to deliver measurable product and data outcomes.

Requirements

Must-haves

Advance your product career while helping shape how digital identity works at scale. You’ll collaborate across technology, design, and business to deliver secure, high-impact capabilities.
Partner with leaders to shape product vision, strategy, and execution plans across identity verification, identity resolution, identity graph, and consent management
Build, launch, and continuously improve identity data capabilities to strengthen adoption, quality, and business impact
Collaborate with technology, design, modeling, and other partners to deliver scalable, secure identity data solutions
Align roadmaps and dependencies with related identity and data teams to enable integrated delivery
Define and track key performance metrics for product health, data quality, and business outcomes, using insights to prioritize improvements
Establish and champion data governance standards, policies, and controls for the identity data domain
Ensure identity data products meet applicable data privacy expectations, internal policies, and audit requirements
Communicate strategy, risks, tradeoffs, and outcomes to senior stakeholders with clarity and strong executive presence
Identify and manage risks related to data quality, access, privacy, and security within the identity data domain
Stay current on industry trends and emerging technologies to inform product direction and roadmap evolution
Required qualifications, capabilities, and skills
3 years of experience in identity, data management, or related technology domains
Practical knowledge of identity verification, identity resolution, identity graph concepts, and consent management
Strong analytical skills and a data-driven approach to prioritization and decision-making
Strong collaboration and stakeholder management skills across technical and non-technical partners
Demonstrated ability to develop and execute product roadmaps that deliver measurable business and risk outcomes
Technical fluency with modern data platforms, cloud-based architectures, and data pipeline technologies
Understanding of data governance frameworks, data privacy obligations, and compliance expectations relevant to identity data
Excellent written and verbal communication skills, including translating complex technical topics for diverse audiences
Bachelor’s degree in Computer Science, Information Systems, Engineering, or related discipline, or equivalent professional experience
Experience building and launching complex technology products in financial services or other regulated industries
Familiarity with identity and access management standards, protocols, and frameworks

Nice-to-haves

Preferred qualifications, capabilities, and skills

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Keywords to mirror

machine learningagile

Platform: oracle-cloud
Effort: medium

Benefits

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Vision