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About the Role

As a Technology Product Manager, Data Science, you will invent the vision, strategy, and roadmap for data and machine learning products that deliver measurable business value. You will act as the link between technical teams and collaborators, translating opportunities into meaningful solutions and ensuring product investments meet organizational priorities and customer needs. You will partner closely with data scientists, engineers, analysts, and business leaders to build products that unlock insights, support better decision-making, and drive strategic growth.

Responsibilities

Define and communicate a clear product vision and strategy for data science, analytics, and machine learning products that align with business priorities and customer outcomes.
Prioritise product initiatives, features, and improvements using data, customer feedback, and business insights to improve value and return on investment.
Collaborate with data science, engineering, quality assurance, and delivery teams to bring high-quality solutions from concept through to adoption.
Lead product discovery activities to understand user needs, validate opportunities, and ensure solutions address real business challenges.
Build positive relationships with collaborators at all levels, gaining alignment on priorities and successfully influencing decision-making.
Establish and track product success measures, including benchmarks and important metrics, using performance insights to continuously refine the roadmap.
Champion Agile ways of working and support effective backlog management, prioritisation, and delivery practices across distributed teams.
Proactively identify risks, remove obstacles, and adapt plans to ensure the successful delivery of valuable, scalable, and balanced products.

Requirements

Experienced in managing technology, software, analytics, or data-focused products through the full product lifecycle, from discovery and prioritisation to delivery and continuous improvement.
Able to demonstrate success partnering with software engineering, data engineering, or data science teams to deliver products that achieve measurable business outcomes.
Confident translating complex technical concepts, user needs, and business challenges into clear priorities, product requirements, and actionable roadmaps.
Skilled in Agile product development practices, including backlog management, user story creation, prioritisation frameworks, and iterative delivery.
Knowledgeable about enterprise technologies, data platforms, analytics solutions, data warehousing, visualisation tools, or related digital products.
Familiar with data science and machine learning concepts, including model development lifecycles, evaluation approaches, and practical business applications.
An effective communicator who can build credibility with senior stakeholders, influence decisions, and create alignment across diverse teams without direct authority.
Comfortable using data, metrics, KPIs, and customer insights to evaluate product performance, make informed decisions, and continuously improve outcomes.

Skills

Data Science
Machine Learning
Product Management
Agile Product Development
Backlog Management
User Story Creation
Prioritisation Frameworks
Iterative Delivery
Enterprise Technologies
Data Platforms
Analytics Solutions
Data Warehousing
Visualisation Tools
Communication
Data Analysis
Metrics
KPIs
Customer Insights

Location

Hybrid

Work Type

Perm
Hybrid

Experience Level

Experienced

Salary/Compensations

£65,000 - £70,000

Benefits

25 days annual leave (plus bank holidays) with 2 additional floating personal days.
Hybrid working up to 2 days per week in office and a home working allowance.
Life assurance, income protection, and travel insurance.
Private medical cover and access to the company doctor.
Tuition scheme and support for pursuing professional qualifications, including access to Sage books and journals.
Variety of snacks and beverages available in the office.
Healthy lifestyle reimbursement and anniversary trips.
Access to Company loans (season ticket loan, rental deposit loan, cycle loan).

About the Company

Sage is a global academic publisher of books, journals, and library resources with a growing range of technologies to enable discovery, access, and engagement.
Believing that research and education are critical in shaping society, Sara Miller McCune founded Sage in 1965.
Today, we are controlled by a group of trustees charged with maintaining our independence and mission indefinitely.
Our guaranteed independence means we’re free to: Do more – supporting an equitable academic future, furthering disciplines that drive social change, and helping social and behavioural science make an impact; Work together – building lasting relationships, championing diverse perspectives, and co-creating resources to transform teaching and learning; Think long-term – experimenting, taking risks, and investing in new ideas.

Equal Opportunity

We’re a Disability Confident Employer (Level 1).
We’re committed to building a diverse and inclusive team and to sustaining a culture that celebrates diversity, encourages authenticity, and builds a deep sense of belonging.
We encourage applications from all members of society irrespective of age, disability, sex or gender identity, sexual orientation, colour, race, nationality, ethnic or national origin, religion, or belief as crafting value through diversity is what makes us strong.