Head of Data

Gearset; Cambridge; Hybrid; GBP 100,000 - 120,000; Full time

Benefits offered by this job

Long Term Incentive Plan

Generous development budget

Private health care

Free lunch in office

Pension plan (matching)

Enhanced family leave

Life Insurance & Critical Illness

Private dental insurance

Hardware provided

Gym membership discount

Job summary

Gearset is seeking a Head of Data to shape how we collect, model, and leverage telemetry and customer insights. You will lead a multi-disciplinary data team, drive self-serve analytics adoption, and embed data into strategic decisions at scale.

You will own data strategy, collaborate with GTM leadership, and oversee data governance, tooling, and budgets while ensuring UK GDPR compliance and a thriving data community.

Qualifications

• Experience building and leading multi-disciplinary data teams.
• Experience defining data roadmaps with measurable outcomes.
• Expertise in SQL and data modelling, with software engineering practices for data.

Responsibilities

• Own the data strategy and roadmap for Gearset.
• Line-manage a multi-disciplinary data team or analytics group.
• Embed analytics in strategic decisions and enable self-serve tooling.
• Govern the data platform with best practices and CI/CD.

Skills

Data team leadership

SQL & data modelling

Cloud analytics

Stakeholder influence

Tools

Redshift

BigQuery

Snowflake

dbt

Looker

Tableau

Power BI

Job description

Gearset has been a data-driven SaaS company from day one, and we're looking for a Head of Data to shape the future of how we collect, model, and leverage our rapidly growing ecosystem of telemetry and customer insights.

Reporting to the SVP of GTM Strategy & Operations, you will guide a multi-disciplinary data Team to foster a thriving internal data community, drive self-serve analytics adoption, and embed data into the heart of our strategic decisions as we scale.

WHAT'S THE OPPORTUNITY FOR A HEAD OF DATA AT GEARSET?

• You’ll own Gearset’s data strategy, lead the Data Team and shape the direction for how Gearset collects, models, and utilises data across the entire business.
• Translate an increasing wealth of product telemetry, a growing customer database, and cloud-native backend systems into actionable insights that drive better company-wide decisions.
• Empower teams across Gearset to independently access and learn from our data, enabling them to make high-impact changes to our product and business processes.
• Build and nurture an internal data community, ensuring key business metrics are clearly defined, consistently monitored, and embedded seamlessly into our strategic decision-making.

WHAT YOU’LL ACHIEVE

• Line manage and develop a multi-disciplinary data team spanning analytics, analytics engineering and data engineering, building business capability within the team.
• Own the data strategy and roadmap, prioritising short and long-term objectives in partnership with stakeholders across the business.
• Partner with cross-functional leadership and non-technical stakeholders to align on priorities, embed analytics into strategic decisions, and provide self-serve tooling and support.
• Guide the future of the Data platform, ensuring the ingestion of necessary data to provide trusted, reusable foundations for company-wide reporting.
• Develop a data community and deliver training that teaches responsible use of data.
• Setting and holding team accountable to software engineering best practices to govern the data platform, including version control, automated testing and CI/CD.
• Lead objective setting and prioritisation for the data function, and report progress against key business metrics to GTM leadership.
• Own data tooling budgets and vendor selection processes
• Work with Legal and Compliance to ensure the data platform and its use meet data protection obligations, including UK GDPR.

ABOUT YOU

• Demonstrated experience developing multi-disciplinary data teams (analytics, data science, data engineering) and delivering a company-wide data roadmap with measurable business outcomes.
• Experience defining a Data team's approach to AI/ML-driven analytics, including evaluating where LLMs and generative AI tooling can improve data workflows or self-serve analytics.
• Deep expertise in SQL and data modelling, coupled with a strong grasp of software engineering principles applied to data (version control, automated testing, CI/CD).
• Strong background working with cloud analytics platforms (Redshift, BigQuery, Snowflake), transformation tools (dbt), and modern visualisation software (Omni, Looker, Tableau, Power BI).
• Experience establishing data governance and data quality standards.
• Experience driving self-serve analytics adoption and data literacy across non-technical teams.
• Ability to influence senior leaders, define key business metrics, and translate complex data analysis into proactive solutions that drive strategic company decisions and value.

GREAT TO HAVES

• Experience working with data in a B2B SaaS company.
• Experience with data integration tools, such as Airbyte, Fivetran or Stitch.
• Working knowledge of privacy laws and compliance frameworks, such as GDPR, CCPA and HIPAA.

SALARY AND BENEFITS (THE STUFF YOU'D EXPECT!)

• Salary is £100k - £120k (depending on experience)
• This is a full-time role, working Monday to Friday, with flexible home working. For this role, you’ll spend around 4 days a month in the office.
• Generous personal development budget for courses, conferences, or whatever is useful to your professional development in the role of up to £1500 per year
• Top end hardware provided
• Opportunity to join our Long Term Incentive Plan
• Free lunch in the office
• 25 days holiday plus bank holidays (with the option to buy an extra 5 each year)
• Company Pension Plan (matching up to 5%)
• Bupa health care and dental insurance
• Enhanced family leave from day 1, including 26 weeks full maternity/adoption pay, OTE-inclusive
• Bupa Menopause Plan offering specialist consultations and support
• Life Insurance & critical illness cover
• Discounted gym membership, as well as a range of health and wellness benefits