Manager Advanced Data Solutions

Are you commercially minded and excited to shape how advanced data and AI-enabled solutions go to market?

Do you enjoy connecting Product, Sales and Legal to turn customer needs into scalable commercial models?

About the Role

We are looking for a Manager to join the Advanced Data Solutions (ADS) team to help drive the commercial and go-to-market (GTM) strategy for both our existing business and new innovations.

A major focus will be shaping the commercial strategy for new ADS innovations, particularly Connectors, Agents and the Semantic Layer, while also standardising how we take existing solutions to market and supporting complex deal structures in collaboration with customer-facing teams and Legal.

This role would suit someone who enjoys working across functions, translating complex commercial and legal concepts into clear, actionable guidance, and helping build the foundations for new business models as they scale.

About the Team

The Advanced Data Solutions (ADS) team brings together data, semantic and emerging technology solutions across Elsevier, including Journals APIs and datasets, SciBite software, and innovative agentic solutions such as connectors.

You will work closely with Product, Sales, Marketing, Account Management and Legal to shape commercial models and go-to-market strategies for both existing and new solutions. This is a highly visible, customer-facing role at the intersection of commercial strategy, product innovation and emerging technologies.

Key Responsibilities

ADS Business Model Implementation

• Work with sales, account management, and product teams to standardize the use-case and scope-of-use framework across existing ADS offerings;

• Ensure consistent application of commercial frameworks across deals and customer segments;

• Act as a point of reference for internal teams on how current business models should be applied in practice;

• Support the development of new business models, e.g. CRO or AI- first service providers;

• Support GTM enablement sessions for sales on commercial model implementation.

Deal and legal negotiation support

• Support pre-sales and sales teams when evaluating complex use-cases/implementations;

• Support the deal negotiation process on complex deals involving datasets, connectors and agents;

• Interpret legal and contractual frameworks and translate them into clear, practical terms for customers and internal stakeholders;

• Help identify commercial risk and flag issues early in the deal cycle.

Commercial and GTM Strategy for New Innovations incl. Connectors and Agents

• Support the development of the commercial strategy and go-to-market approach for priority ADS innovations, with particular emphasis on Connectors, Agents, and the Semantic Layer;
• Supporting new business opportunities: Researching and identifying potential markets, industries and partnerships that align with strategy;
• Work closely with product teams to ensure new innovation areas are commercially viable, clearly positioned, and designed for scalable adoption from the outset;

• Support pricing, packaging, and positioning decisions for these new offerings.

Key Requirements

• Solid business experience, including GTM/ commercial experience designing and/or negotiating complex deals involving datasets and/or software;

• Proven track record of effective cross-functional working (e.g., sales, product, legal, account management);

• Strong strategic and commercial mindset, with the ability to connect day-to-day execution to broader business goals;

• Ability to understand and interpret legal frameworks, and explain key concepts in simple, accessible terms to both customers and internal stakeholders.

What Success Looks Like

• Commercial strategies, compelling positioning, and go-to-market plans for new innovations [Connectors, Agents, Semantic layer etc.];

• Business model principles consistently applied;

• New business models (e.g., CRO) consistent rollout;

• Legal negotiations move efficiently, with fewer escalations and reduced negotiation time.

Why Join Us?

This is an opportunity to influence commercial strategy at an early stage rather than simply execute an established sales process. You will work across high-growth projects and emerging technologies, collaborate closely with Product, Sales, Marketing, Legal and customers, and help determine how innovative semantic, data and AI-enabled solutions are commercialised and scaled.

Work in a Way That Works for You

We promote a healthy work/life balance across the organisation and offer an appealing working prospect for our people. With wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we aim to help you meet your immediate responsibilities and long-term goals.

Working Pattern

This role can be based in Amsterdam or the UK, with Amsterdam as the primary location. We work in a global and hybrid environment. For Amsterdam-based colleagues, office presence is expected around two days per week; the proposed Tuesday and Thursday pattern is subject to confirmation.

Flexible working hours can help you fit work around your day and work when you are most productive, while meeting the needs of a global, cross-functional team.

For the Amsterdam-based role, the salary is up to €95,000 gross annually.

About the Business

Elsevier is a global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast datasets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice.

At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare and partner for a better world.

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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