Senior Product Manager II - Content (Elsevier AI Products)
About Role:
The Senior Product Manager II (Content) owns the content portfolio domain for Elsevier’s AI products. You will source, select, and shape the forward-looking content portfolio – with an emphasis on non-journal sources (preprints, clinical trials, methods/protocols, gray literature, datasets/databases) – to maximize user value and competitive differentiation. You’ll define content-level requirements, build clear value cases, and drive end-to-end delivery with Engineering and Platform teams so that high-quality, license-aware content becomes a durable product advantage. This role represents the domain with executives, partners, and cross-functional teams, and is a focal point for customer/market understanding.
Responsibilities
Domain leadership and strategy
- Own the content portfolio strategy for non-journal sources across Elsevier AI products; create a multi-year roadmap aligned to business outcomes.
- Build value cases for new sources and formats (e.g., trials, methods, databases, OA/gray literature), including clearly defined lead use cases for each source, ROI, risk, compliance, and implementation complexity.
- Define KPIs and success metrics (e.g., portfolio coverage vs targets, incremental feature impact, cost-per-usable-document, time-to-availability).
Customer, market and competitive insight
- Maintain a market map of priority domains/sources; run gap analysis vs. competitor content bases and user needs.
- Conduct discovery with researchers, clinicians, and enterprise buyers to specify high-value use cases (e.g., figures/tables, methods-as-data, trust/provenance).
Requirements and PRDs
- Write clear Content PRDs with Definition of Ready/Done for ingestion, normalization, enrichment, indexing, entitlement, and delivery.
- Specify content-level requirements (granularity, figures/tables, captions, provenance, trust signals, update cadence, multilingual, accessibility) and acceptance tests.
- Partner with Data Acquisition on cost/benefit analysis, budgeting, usage rights and operationalization.
Delivery and lifecycle management
- Prioritize epics and stories with the RDP/SAIP platform teams and Product/UX; ensure delivery to spec and milestone.
- Work with Engineering and Data Science to design evaluation and trust signals that improve retrieval, grounding, and user-perceived quality.
- Drive de-risking pilots and alpha/beta programs; recommend release/retire decisions based on evidence.
Go-to-market and partner engagement
- Collaborate with AI Product teams on source onboarding priorities and co-marketing stories that demonstrate researcher benefit.
- Contribute to positioning, pricing/packaging (where applicable), and field enablement for content-powered features and APIs.
Leadership and ways of working
- Mentor PMs/analysts informally; model crisp writing, storytelling with data, and calm, inclusive facilitation.
- Represent the domain in exec reviews and with external partners; communicate trade-offs and decisions transparently.
- Build and maintain relationships across the entire company to establish the Content Strategy and Partnerships team and RDP as the Elsevier Data Platform.
Requirements:
- 8–10+ years in product management (or equivalent content/portfolio product roles) delivering data/content platforms, search/knowledge products, or AI/ML-powered experiences.
- Proven portfolio ownership: market mapping, gap analysis, business casing, and shipping content-backed features end-to-end.
- Fluency in content and metadata (XML/JSON, identifiers, provenance, ontologies/semantics) and how they flow through ingestion → enrichment → indexing → entitlement.
- Comfortable partnering with Legal/Finance on licensing constructs (entitlements, excerpt/snippet limits, revenue share/royalties).
- Analytical strength: define KPIs, interrogate dashboards (Tableau/Power BI), reason through imperfect data; SQL or notebooks a plus.
- Excellent communication (clear PRDs, crisp narratives) and facilitation across Engineering, Data Science, UX, Partnerships, and external publishers.
Preferred Qualifications
- Background in STM publishing, life sciences, clinical or research information; exposure to preprints, trials registries, methods/protocol repositories, OA aggregators, or scientific databases.
- Experience with retrieval-augmented generation, evaluation frameworks, and trust/safety/provenance patterns for AI answers.
- Familiarity with search/indexing pipelines, quality signals, relevance metrics, and experimentation (A/B, interleaving).
- Hands-on with Jira/Confluence, CRM workflows (e.g., Salesforce) and collaboration tools; comfort presenting to executives and external partners.
- Advanced degree in a technical or scientific field (MS/PhD) or MBA is a plus.
What success looks like (first 12 months)
- A prioritized, evidence-backed portfolio plan for non-journal sources, with 2 - 3 horizon pilots (e.g., trials, methods, databases) progressing to release.
- Coverage vs. target improved materially; time-to-availability down; measurable feature impact from new sources (e.g., CTR lift, answer quality/trust).
- Content PRDs and acceptance gates used consistently by platform and product teams; reduced rework and clearer accountability lines.
- Clear value stories (internal and partner-facing) that showcase Elsevier’s content advantage in AI surfaces and APIs.
Work in a way that works for you
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.
Working for you:
At Elsevier, we know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits
- Wellbeing programs
- Life assurance
- Access to a competitive contributory pension scheme
- Long service awards
- Save As You Earn share option scheme
- Travel Season ticket loan
- Maternity, paternity and shared parental leave
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts via Perks at Work
About the Business
Elsevier is one of the world’s leading publishers of trusted scientific, technology, and medical content. Building on that foundation of content, we leverage data science and AI to deliver knowledge and analytics products that advance science and improve healthcare outcomes. Therefore, an efficient, streamlined, and optimized data science development process is key to sustaining innovation and business growth, especially with the opportunities ahead with GenAI.
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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Elsevier London, England Office
125 London Wall, London, United Kingdom
