Senior Product Manager , Web Content Management
Job in
Washington, District of Columbia, 20022, USA
Listed on 2026-01-24
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
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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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