Technology Product Manager, Data Science

Sage Pub; Greater London; Hybrid; GBP 65,000 - 70,000; Full time

Benefits offered by this job

Annual leave + bank holidays

Hybrid working up to 2 days in office

Private medical cover

Life assurance and income protection

Tuition scheme for professional quals

Snacks in the office

Lifestyle reimbursement

Loans (season ticket/rental/cycle)

Job summary

Sage Pub is seeking a Technology Product Manager, Data Science to lead the data and ML product strategy, working with data scientists, engineers, and business stakeholders. You will translate complex concepts into actionable roadmaps and measure success with clear KPIs.

Hybrid role based in the UK, with ongoing collaboration across teams to deliver scalable data platforms and analytics products that drive measurable business value.

Qualifications

• Define and communicate a clear product vision for data science, analytics, and ML products aligning with business priorities.
• Prioritise initiatives using data, feedback and insights to maximise ROI.
• Collaborate with data science, engineering, QA and delivery teams to bring solutions from concept to adoption.
• Lead discovery to understand user needs and validate opportunities.
• Build relationships across levels to gain alignment and influence decisions.
• Establish success metrics and use insights to refine the roadmap.
• Champion Agile ways of working across distributed teams.
• Identify risks and adapt plans to deliver scalable products.

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.

Skills

Data science product experience

Agile product development

Stakeholder management

Roadmapping and strategy

Data platforms and analytics

Clear communication with senior teams

Job description

Technology Product Manager, Data Science – £65,000 - £70,000 – Perm

Join us and be part of a mission-driven, independent publisher. You’ll work with a diverse group of people who share a passion for empowering researchers, educators, and institutions to shape the future.

About Sage:

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

About our Team:

Our Technology Product Management team plays a central role in delivering scalable, innovative, and business-focused technology solutions. The team is tasked with developing and advancing our enterprise data and analytics capabilities. This effort supports improved decision-making, operational excellence, and long-term organisational growth. We work closely with Engineering, Architecture, Infrastructure, Quality Assurance, Delivery Management, and business leaders across various functions. Together, we deliver data platforms, analytics products, and modern data solutions that provide measurable value. We encourage a collaborative, inclusive environment where curiosity, innovation, and continuous improvement thrive, and diverse perspectives enable us to tackle complex challenges.

Could you be our new Technology Product Manager, Data Science? Are you?

• 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?

Your new 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. Acting as the link between technical teams and collaborators, you will translate opportunities into meaningful solutions. You will guarantee that product investments meet organisational 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.

• 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.

Overview of 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).

We’re a Disability Confident Employer (Level 1). If you’d like to apply under this scheme, please let us know in your application.

We’re committed to making our recruitment process accessible and inclusive. If you’d like to request reasonable adjustments, please email [e-mail]. Please note we only accept applications via email if an adjustment has been agreed.

Closing date for applications: Monday 16th November.

Note we have several Technology roles live at the moment. Please refrain from applying to all.

To ensure we can give each application the attention it deserves, we may consider bringing the closing date forward. Therefore, we encourage you to submit your application as soon as possible to ensure it is considered.

Diversity, Equity, and Inclusion

At Sage, we are 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.