• Champion the Go-To-Market strategy for Experian's Digital and Offline Identity Resolution and Collaboration product portfolio, ensuring tight alignment between market needs, product positioning, and sales execution. • Ensure offerings are competitively positioned, priced and aligned with value delivered. • Serve as the primary client-facing product lead, engaging with top-tier advertisers, platforms, and publishers to understand business objectives, evaluate fit with Experian identity solutions, and recommend best-fit architectures or new solution concepts. • Act as a subject-matter expert on identity resolution, educating internal teams and clients on technical concepts such as deterministic/probabilistic matching, cross-device graphs, clean rooms, and privacy-enhancing technologies. • Support strategic sales engagements, participating in client meetings, solutioning sessions, and escalated conversations where product expertise is required. • Act as an escalation point for complex client solutioning, helping unblock revenue by creatively applying product capabilities. • Partner with internal Product Managers who lead development execution - providing market context, validating requirements, and ensuring product investments map to revenue and adoption goals. • Develop commercially grounded product roadmaps, balancing short-term client needs with long-term strategic differentiation. • Translate emerging industry developments (privacy regulation, signal loss, CTV, retail media expansion, etc.) into actionable product implications and commercial opportunities. • Collaborate with Marketing and GTM teams to define messaging, launch new offerings, create enablement materials, and ensure consistent market positioning. • Conduct structured customer discovery and validation, synthesizing client inputs into insights that influence product strategy and go/no-go decisions. • Define product metrics, KPIs, and success criteria, ensuring actionable tracking toward revenue, adoption, and partner ecosystem health. • Represent Experian in industry forums and standards bodies, maintaining active involvement in groups such as IAB, NAI, DAA, or Prebid to influence and anticipate market direction.

• Develop a strong understanding of institutional miner workflows, pain points, and constraints. • Translate validated problems and high-level product direction into clear solutions, detailed requirements, and acceptance criteria, driving alignment with engineering and key stakeholders. • Leverage modern PM and AI-assisted tools (including Claude Code) to accelerate research, prototyping, and documentation. • Manage and groom the product backlog in partnership with engineering, making informed tradeoffs on scope, sequencing, and priority. • Use customer feedback, usage data, and product analytics to evaluate outcomes, iterate on solutions, and inform prioritization decisions with increasing independence. • Conduct ongoing competitive analysis to identify differentiation opportunities and propose improvements that increase product value. • Partner with Sales, BD, and Customer Success teams to support feature readiness, documentation, customer discussions, and escalations as needed. • Contribute analysis and materials for key customer or executive discussions. • Partner closely with engineering and stakeholders on user experience and interface decisions, and should be comfortable contributing to early design concepts and interaction flows when needed.

• Define and evolve the product vision for messaging performance reporting across Email, SMS, and WhatsApp, shaping a greenfield space with clear strategic direction. • Create and maintain a cohesive roadmap that connects reporting, insights, and predictive/ML capabilities into a unified customer experience. • Deeply understand how marketers evaluate and optimize campaigns, translating customer needs into clear product strategy and prioritized outcomes. • Establish and refine success metrics, using data to evaluate tradeoffs, pressure-test assumptions, and guide decisions in complex, large-scale event data environments. • Partner closely with Engineering and UX to deliver powerful, intuitive reporting and optimization tools that drive measurable customer impact. • Collaborate with backend and event infrastructure teams to leverage HubSpot’s messaging data at scale while ensuring reliability and performance. • Guide product initiatives from discovery through launch, driving alignment across cross-functional partners and ensuring high-quality execution. • Influence stakeholders across a complex product ecosystem, aligning teams around shared goals and delivering customer-first outcomes.

• Run the intake-to-roadmap loop for Enterprise AI Enablement: partner with stakeholders to capture use cases, clarify scope/ownership, and shape opportunities into well-defined epics and user stories (with clear outcomes and acceptance criteria) • Prioritize what matters most by applying the strategy’s prioritization model (top-down themes + bottom-up Business Unit needs), ensuring we build workflows that create measurable time savings and adoption—not one-off tools. • Own execution hygiene for the backlog: keep the backlog crisp, sequenced, and “build-ready” for AI engineering, including lightweight discovery, dependency mapping, and release notes for internal users • Enable “Right tools for the right work” by partnering with IT Ops / Procurement / Security to support tool inventory signals, capability-to-tool guidance, and practical rollout communications that reduce tool sprawl and compliance gaps. • Build “metrics that matter” into every initiative: define baseline + success metrics (adoption, time saved, workflow cycle time), and support quarterly impact reporting with clear, decision-ready summaries. • Ship workflow enhancement with BU partners: support delivery of production-grade agents/workflows by keeping BU owners aligned on outcomes, readiness, and change management—so adoption sticks after launch. • Contribute to org-wide AI fluency by partnering on enablement assets that make the compliant path the easiest path.