Digital Asset Management; DAM Product Manager

Job Description Product Strategy & Vision

• Define and evolve the DAM product vision and roadmap aligned to enterprise content strategy and operating model
• Position DAM as the single source of truth for approved content, supporting modular, omnichannel activation
• Establish a forward‑looking roadmap incorporating AI/agentic capabilities (auto‑tagging, semantic search, performance insights, intelligent lifecycle management)

• Lead end‑to‑end DAM implementation and optimization (e.g., Aprimo or equivalent)
• Define and manage product backlog, prioritization, and release planning
• Partner with engineering, vendors, and system integrators to deliver scalable, secure solutions
• Ensure alignment with enterprise architecture, data governance, and security standards

• Integrate DAM tightly with MLR systems (e.g., Veeva Promo Mats) to maintain:
  • Approval lineage
  • Version control and audit trails
  • Expiry and withdrawal automation
• Define workflows that ensure only final, approved assets are activated downstream
• Support regulatory requirements (e.g., inspection readiness, FDA 2253 alignment where applicable)

• Own the enterprise metadata model and taxonomy strategy
• Define and maintain a metadata contract across CMP → MLR → DAM → Channels
• Enable advanced capabilities such as:
  • Modular content relationships (parent/child, derivatives)
  • Rights and usage management
  • Lifestyle state management
• Partner with governance and content teams to ensure adoption and consistency

• Drive integrations across the content supply chain:
  • CMP (e.g., Storyteq) for content creation and assembly
  • MLR (e.g., Veeva Promo Mats) for review and approval
  • Channels (AEM, SFMC, DCO platforms, social, sales enablement) for distribution
• Enable frictionless content flow from creation -> approval -> distribution -> performance feedback

• Introduce AI‑powered capabilities, including:
  • Automated tagging and metadata enrichment
  • Natural language and semantic search
  • Content recommendations and reuse suggestions
  • Predictive compliance signals
• Define how asset‑level performance data flows back into DAM to:
  • Inform reuse and optimization
  • Improve taxonomy and metadata
  • Support reporting and dashboards

• Act as the platform champion, driving adoption across brand teams, agencies, and affiliates
• Develop training, onboarding, and support models
• Partner with stakeholders to embed DAM into daily workflows and campaign execution
• Track and improve adoption metrics and user satisfaction

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

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• 5-8+ years of experience in product management, DAM, or marketing technology platforms
• Hands‑on experience with enterprise DAM platforms (e.g., Aprimo, Bynder, Adobe, Veeva, etc.)
• Strong understanding of content lifecycle workflows, including MLR/regulatory processes
• Experience working in complex, matrixed environments with multiple stakeholders and agencies
• Proven ability to define product strategy, manage roadmaps, and deliver at scale

• Experience in pharma, life sciences, or other regulated industries
• Familiarity with Veeva Vault / Promo Mats and compliance‑driven workflows
• Experience integrating DAM with CMP, CMS (AEM), marketing automation (SFMC), and DCO platforms
• Exposure to modular content, headless architectures, and design systems (e.g., Figma, Knapsack)
• Experience implementing AI/ML or agentic workflows within content or marketing platforms