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Senior Product Manager , Web Content Management

Job in Washington, District of Columbia, 20022, USA
Listing for: CFA Institute
Full Time position
Listed on 2026-01-24
Job specializations:
  • IT/Tech
    Data Analyst, AI Engineer, IT Project Manager, Data Science Manager
Salary/Wage Range or Industry Benchmark: 250000 USD Yearly USD 250000.00 YEAR
Job Description & How to Apply Below

What You’ll Do

  • Define and maintain the strategic roadmap for the enterprise customer portal and authenticated web experience.
  • Incorporate AI-driven opportunities such as intelligent content recommendations, predictive user needs, or automated insights into experience strategy.
  • Assess market and technology trends, including advances in AI-powered personalization, search, analytics, and content management, to ensure CFA Institute stays ahead of industry standards.
Product Lifecycle Ownership
  • Own the end-to-end lifecycle for the customer portal, including discovery, requirements definition, prioritization, delivery, and iterative optimization.
  • Develop an actionable, data- and AI-informed product roadmap aligned with business and user needs.
  • Translate business goals into product objectives, KPIs, and measurable success criteria, including goals for AI-assisted engagement improvements.
Customer & Stakeholder Engagement
  • Lead discovery activities—including interviews and user research—to identify needs, pain points, and opportunities for digital and AI-supported improvements.
  • Partner with Marketing, Learning, Certification, Member Services, Technology, and Data & Analytics to enable customer journeys that increasingly leverage AI-driven insights and personalization logic.
  • Communicate product strategy, decisions, and progress clearly to stakeholders across the enterprise.
Execution & Delivery
  • Own and manage the product backlog, ensuring user stories incorporate AI capabilities, data requirements, and personalization considerations where relevant.
  • Write high-quality user stories and acceptance criteria for engineering teams implementing content, personalization, and AI-enabled features.
  • Partner with engineering, UX, architecture, and AI/ML teams to ensure solutions are user-centered, technically sound, ethically responsible, and aligned with governance standards.
  • Support all sprint ceremonies, including backlog grooming, sprint planning, and retrospectives.
Enterprise Personalization Capability
  • Lead the product strategy for enterprise personalization, including rule-based and AI-driven models that enhance relevance and engagement.
  • Partner with Data, Analytics, and Mar Tech teams to define segmentation, targeting, experimentation, and the foundations for machine-learning-powered personalization.
  • Identify emerging technologies (e.g., recommendation engines, content automation tools, behavioral intelligence) that can improve the logged-in experience.
Performance & Optimization
  • Define KPIs for portal performance, engagement, usability, and AI-based personalization outcomes.
  • Leverage analytics and AI-assisted insights to evaluate content performance, user behavior, journey friction points, and engagement opportunities.
  • Use qualitative and quantitative data—including predictive analytics—to guide prioritization and iterative improvements.
  • Ensure accessibility, localization, SEO, governance, and content integrity are upheld across all enhancements.
Cross-Functional Leadership & Influence
  • Serve as a trusted collaborator across business and technology teams to ensure the customer portal supports enterprise-wide journeys and digital objectives.
  • Evangelize the responsible use of AI to enhance customer experience, decision-making, and operational efficiency.
  • Represent the product in governance processes, portfolio planning, and enterprise digital transformation efforts.
What We’re Looking For
  • Bachelor’s degree in computer science or related discipline.
  • Minimum of 10 years of experience in Information Technology with at least five years of demonstrated experience in leading testing and QE teams.
  • Deep expertise with industry automated testing tools.
  • Experience in developing testing strategy, plans and test cases. Experience with end-to-end (E2E) testing, systems and integrated testing.
  • Experience working in and across both agile and waterfall Software Development Life Cycles (SDLC) including SCRUM, and Scaled Agile Framework (SAFe).
  • Strong knowledge and experience with build management tools, software configuration management systems and/or source code version control systems, technical architectures, and testing software and automation.
  • Ability…
Position Requirements
10+ Years work experience
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