• Own the identity product strategy at tvScientific • Lead the product vision for tvScientific’s identity graph, enabling persistent, multi-device recognition across CTV and digital channels. • tvSci Identity will service multiple teams throughout the product and engineering ecosystem, it will be your role to align with leadership of those teams to gather requirements, define goals and monitor success. • Partner with Data Engineering and Data Science to architect and optimize graph-based data models that represent user identity, household relationships, and device linkages. • Design APIs and services for real-time identity resolution, enrichment, and activation in programmatic ad workflows. • Source, evaluate, and onboard third-party identity and behavioral data providers to enhance graph completeness and targeting capabilities. • Work with Legal, Security, and Data teams to ensure all data partnerships comply with CCPA, GDPR, and other global privacy standards. • Lead the technical integration and operationalization of new identity and graph enrichment partners, ensuring reliable ingestion, mapping, and deployment. • Maintain an ongoing view of the identity and data ecosystem, and recommend partnership or build strategies accordingly. • Write detailed product requirements, data specifications, and user stories for identity graph services and data integration projects. • Coordinate with Engineering and Infrastructure teams to deliver performant graph storage, traversal, and querying systems. • Support Sales, Marketing, and Customer Success with technical narratives that explain the role and value of identity resolution in CTV targeting. • Define and monitor key metrics related to graph quality (e.g., match rates, accuracy, persistence), identity coverage, and performance impact. • Stay current with advancements in privacy-enhancing technologies (PETs), identity standards, and regulatory shifts impacting identity data use in advertising. • Represent tvScientific in industry forums and with partners to position the company as a leader in CTV identity and data interoperability.

• Partner with the People Operations and Finance teams to define and prioritize the product vision and strategy for HCM functions • Drive the articulation of a product roadmap • Act as a subject matter expert on Workday and upstream/downstream systems • Collaborate with Technical Business Analysts and cross-functional subject matter experts • Work closely with development and system administration teams • Measure and analyze product performance and organizational feedback • Work with project teams to build and manage product documentation • Actively align our technology stack with broader company strategy • Closely partner with the other Product Owners • Drive technology initiatives forward despite ambiguity • Plan, facilitate, and monitor User Acceptance Testing (UAT) • Act as a mentor across the Product Owner and Business Analyst teams.

• Manage and communicate the vision and roadmap for products to an Agile delivery team • Represent the voice of the customer to the team • Own the articulation and prioritization of backlog in small increments of value that can be delivered in short iterations • Drive value to the business by building and maintaining a product backlog in collaboration with stakeholders and delivery teams • Contribute to shaping product direction, creating features, writing user stories, and innovation • Understand department, segment, and organizational strategy and operating objectives

• Define and lead the organizational data strategy, establishing long-term priorities and execution roadmaps • Serve as a trusted strategic advisor to senior leaders, offering insight-driven recommendations and facilitating alignment across business and technology groups • Build and maintain strong stakeholder relationships, ensuring shared ownership and clarity of strategic direction • Drive cross-functional execution of strategic initiatives, establishing governance structures, resolving roadblocks, and ensuring disciplined delivery • Translate complex business needs into actionable data capabilities that improve decision-making and enterprise performance • Monitor industry trends and emerging technologies to inform ongoing strategy refinement and thought leadership • Promote a data-driven culture by championing best practices and enabling organizational change