About us
We are Digital Science and we are advancing the research ecosystem.
We are a pioneering technology company, and our vision is of a future where a trusted and collaborative research ecosystem drives progress for all. We believe in better, open, collaborative and inclusive research. In creating the next generation of tools and working in partnership with the community we tackle some of the biggest challenges to research. In order to achieve our vision, we need innovative, inspiring and dynamic people to join our team. Want to join us?
Your new role
The VP of Revenue Operations is responsible for building and leading the unified commercial operating engine of Digital Science. Reporting to the Senior Vice President of Operations and serving as the primary operational partner to the Chief Revenue Officer (CRO), Segment leaders, and commercial leadership, this role drives revenue velocity through three core mandates:
- Business Process Ownership: optimising the customer lead-to-renewal lifecycle
- Data Ownership and Integrity: ensuring indisputable pipeline data quality, pricebook integrity, and accurate sales forecasting
- Technical & Systems Ownership: managing, integrating, and automating the commercial technology stack.
Please note - due to business need, we can only accept applications from candidates who reside in the UK, where we have an established legal entity. If you apply from outside of this area, your application will not be considered.
For this role, we’d specifically need someone based in or close to London.
Please be aware that we may close this position early if we receive a high volume of applications, so we encourage you to apply promptly.
Business Process Ownership & Commercial Enablement
- End-to-End Lead-to-Renewal Workflows: Own, standardise and optimise commercial business processes across the full customer lifecycle: from lead capture to order fulfillment, renewal management, and churn prevention.
- Commercial Leadership Alignment: Partner directly with the CRO, and Segment leaders to translate overarching commercial strategies into actionable operational workflows and enablement playbooks.
- Project Delivery Collaboration & GTM Rollouts: Partner closely with the VP of Business Operations regarding the operational execution of Go-To-Market (GTM) strategies, new product releases, and cross-functional system launches.
- GTM Project Delivery: Ensure RevOps project dependencies, technical readiness, commercial enablement workflows, and change management plans are seamlessly integrated into wider company project roadmaps.
- BAU Operational Support: Oversee day-to-day operational support for Sales, Marketing, and Customer teams, including Doc Del - fulfillment, RFP Process Improvements, Customer Operations Process Improvements, Renewal Process Improvements, Legal Contract Reviews and Reseller Reporting.
- Frictionless Buying Experience: Continuously identify and eliminate operational friction in customer-facing processes, making it as seamless as possible for clients to buy from and renew with Digital Science.
Data Ownership and Integrity
- Commercial Data Quality: Serve as the commercial data owner, enforcing data entry standards, required fields, and pipeline hygiene in alignment with policies established by the VP of Data Governance & BI.
- Pipeline Integrity & Forecasting: Institutionalise data quality standards to ensure accurate sales forecasting, pipeline hygiene, and opportunity stage progression tracking.
- Pricebook & Product Line Management: Maintain the operational integrity of product pricebooks, discount matrix governance, multi-currency tables, and Product Line structures in collaboration with Product, Finance, Segments and Data Governance.
- Performance Analytics & KPIs: Support the monitoring and reporting of core commercial KPIs (e.g., CAC, NRR, win rates, sales cycle length), aligning metrics with the company-wide KPI framework owned by Data Governance & BI and Finance.
Commercial System Ownership
- Commercial Tech Stack Governance: Act as the functional owner for commercial technology (including Salesforce, Pardot, Gong, Front, Qualtrics, LeanData/Leadspace).
- System Administration & Integration Leadership: Provide executive oversight and management of team members and technical staff responsible for platform architecture, technical development, custom objects, user provisioning, and API integrations (e.g., NetSuite-to-Salesforce connectors), ensuring clean data pipelines into the central data warehouse.
- Automation & AI Acceleration: Champion the adoption of AI and workflow automation across commercial operations to eliminate manual administrative work, reduce data entry burden, and scale capacity.
- UX & Systems Optimisation: Optimise the user experience within commercial software, ensuring tools are intuitive, properly adopted, and configured to minimise rep administrative time.
Leadership & Operations Alignment
- SVP & Operations Alignment: Report to the SVP Operations and partner closely with the VP of Business Operations and VP of Data Governance & BI to align commercial systems, project roadmaps, and enterprise data hygiene.
- Data Governance Partnership: Collaborate with the VP of Data Governance & BI to feed clean commercial data into the central BigQuery data warehouse and enforce compliance across commercial teams.
- Team Development & Mentorship: Build, mentor, and lead high-performing teams across SalesOps, MarketingOps, CustomerOps, and CRM/Systems Development.
- Continuous Improvement Culture: Foster a data-driven, customer-centric culture that routinely audits, iterates on, and elevates operational capabilities and system performance.
Experience
- Significant, demonstrable experience leading Revenue Operations or equivalent business operations at scale, including CRM/Salesforce ownership, sales pipeline and GTM processes.
- Proven track record in a VP Operations-type role, ideally within technology, SaaS or a related B2B environment
- Experience identifying use cases for driving automation to eliminate manual administrative burdens, streamlining lead-to-renewal processes, and reducing data-related friction across sales, marketing, and customer success.
- Demonstrated ability to drive internal adoption of AI capabilities, translating emerging technologies into practical operational efficiencies and measurable productivity gains for commercial teams.
- Experience of business transformation and building new functions or operating models
- Understanding of business functions such as Finance, Legal, HR and Group IT, and how Operations interfaces with them
- Understanding of the research ecosystem and Digital Science’s products
Skills
- Outstanding organisational and leadership abilities, with the ability to simultaneously manage multiple workstreams
- Strong working knowledge of data analysis and performance/operational metrics
- Demonstrable competency in strategic planning and business development
- Excellent interpersonal, influencing and public speaking skills, with the ability to lead and influence global, remotely based teams
- Aptitude in decision-making and problem-solving, and comfort operating in fast-paced, ambiguous environments
- Excellent communication and stakeholder management skills; comfortable presenting to executive and board-level audiences.
Qualifications
- Bachelor-level degree essential
- Relevant Revenue Operations, CRM or business/strategic planning qualification desirable.
We're looking for people who are naturally curious about AI and comfortable exploring how it can improve the way we work — you don't need to be an AI expert, but an openness to experiment and adapt is important to us.
Don't worry if you don't meet every qualification—let us be the judge! Studies show that many qualified candidates from under-represented groups hesitate to apply unless they meet every single requirement. We are dedicated to building a diverse and inclusive team and strongly encourage you to submit your application.
We invest in, nurture and support innovative businesses and technologies that make all parts of the research process more open, efficient and effective.
The talent we secure is fundamental to us achieving our vision and our growth plans. The values we live by are:
We are brave in the pursuit of better
We are collaborative and inclusive
We are always open-minded
We are from and for the community
At Digital Science, our vision is to see research flow seamlessly – trusted, collaborative, and accessible – fueling breakthroughs that push humanity forward. This ambitious mission is one we achieve together, by enabling open, collaborative, inclusive research.
We firmly believe that to truly innovate and solve the complex challenges faced by our customers, from researchers and universities to funders and publishers, we need diverse perspectives, experiences, and ideas. A rich mix of voices drives quality insights, fosters enhanced collaboration, and ultimately pushes knowledge forward more effectively.
As an equal opportunity employer, we are committed to building and nurturing a workplace where every individual feels valued and belongs. All applicants will be considered for employment without attention to race, colour, religion, age, sex, sexual orientation, gender identity, national origin, veteran, or disability status. Beyond recruitment, we strive to cultivate an environment where inclusivity is woven into the fabric of our culture, enabling everyone to be their best self and do their best work.