Product Manager - Advertising Technology

Hidden Company

Dallas, Texas, USA

We are seeking a data-driven Product Manager to lead analytics and data activation initiatives across our AdTech stack. You will own product discovery, roadmap, and delivery for customer analytics capabilities that power smarter targeting, measurement, and personalization. Partnering with Data Engineering, Marketing Operations, and Commercial teams, you’ll translate business goals into scalable data products leveraging SQL, GCP/BigQuery, Adobe Analytics, LiveRamp, and visualization tools like Tableau. Your work will improve campaign ROI, accelerate insights-to-action, and enable privacy-safe audience strategies. Key Responsibilities - Define and execute the product vision, strategy, and roadmap for analytics, segmentation, and audience activation capabilities in AdTech/MarTech. - Lead backlog grooming, sprint planning, and requirements definition (epics, user stories, acceptance criteria) for data and analytics features. - Translate commercial and marketing objectives into measurable product outcomes, with clear KPIs and success metrics. - Partner with Data Engineering to design data models and pipelines in GCP/BigQuery; validate data quality and performance. - Build and refine audience taxonomies, identity resolution strategies, and activation workflows using platforms such as LiveRamp and Adobe. - Drive analytics instrumentation, event taxonomy, and governance across channels with Adobe Analytics and related tools. - Work cross-functionally with Media, CRM, and Insights teams to deliver dashboards (Tableau) and experimentation frameworks (A/B and incrementality). - Ensure compliance with privacy, consent, and data governance standards; collaborate with Legal/Security on risk mitigation. - Develop business cases, prioritize trade-offs, and communicate roadmap progress and outcomes to executive stakeholders. - Lead user acceptance testing and production rollout; monitor adoption, product health, and performance post-launch. - Create clear product documentation, playbooks, and enablement materials for business users and technical teams. - Identify opportunities to improve data latency, reliability, and self-service analytics to shorten time-to-insight. Required Qualifications - Bachelor’s degree in a quantitative, business, or related field (e.g., Computer Science, Information Systems, Marketing Analytics, Economics). - 5+ years of product management experience, with at least 3 years in AdTech/MarTech or data-driven product roles. - Hands-on proficiency with SQL and experience working with large datasets in GCP/BigQuery. - Practical experience with Adobe Analytics (implementation, reporting, segmentation) and data activation platforms (e.g., LiveRamp). - Demonstrated ability to define product requirements and deliver data/analytics features with cross-functional engineering teams. - Experience building dashboards and self-service analytics in Tableau (or similar BI tools). - Familiarity with event instrumentation, data governance, and privacy/consent frameworks (CCPA/CPRA, GDPR concepts). - Strong stakeholder management and executive communication skills. Preferred Qualifications - Experience with identity resolution, lookalike modeling, and measurement (attribution, MMM, incrementality). - Exposure to Python or dbt for analytics engineering, and familiarity with Airflow or similar orchestration tools. - Background integrating CDPs, DSPs, or CRM platforms; understanding of cookies, device IDs, and cookieless strategies. - Experience with experimentation platforms and frameworks (A/B testing, holdouts). - Certification(s): Google Cloud (e.g., Professional Data Engineer), Adobe Analytics, or Tableau. Tools & Platforms - Data & Cloud: GCP (BigQuery, Cloud Storage, IAM), SQL - Analytics & Visualization: Adobe Analytics, Google Analytics (as applicable), Tableau - Data Activation & Identity: LiveRamp, audience onboarding/identity resolution tools - Workflow/Dev: JIRA/Confluence, Git (in partnership with engineering) - Optional: dbt, Airflow, Python, Looker, Segment/Tealium or comparable CDP/Tag Management Soft Skills & Attributes - Product thinker who is customer- and outcome-obsessed with strong business acumen. - Analytical, structured problem-solver who can translate complexity into clarity. - Excellent communicator and facilitator across technical and non-technical audiences. - Bias for action, ownership mindset, and comfort with ambiguity. - Collaborative leader who builds trust and drives alignment across teams. - Meticulous about data quality, privacy, and governance. Performance Metrics / KPIs - Time-to-value: Cycle time from idea to production and adoption rates. - Data product quality: Data accuracy, latency, reliability SLAs, and defect rates. - Business impact: Campaign ROI, lift in audience performance, reduction in CAC, improvement in conversion or retention metrics. - Product engagement: Active users of dashboards/features, self-service adoption, NPS or user satisfaction scores. - Roadmap delivery: On-time delivery against committed scope and measurable outcomes. - Compliance & governance: Adherence to privacy standards and audit readiness.