At a Glance
- Tasks: Lead Gearset's data strategy and empower teams with actionable insights.
- Company: Join a pioneering data-driven SaaS company shaping the future of analytics.
- Benefits: Competitive salary, flexible working, generous development budget, and health benefits.
- Other info: Enjoy a hybrid work model with excellent career growth opportunities.
- Why this job: Make a real impact by driving data-driven decisions in a dynamic environment.
- Qualifications: Experience in leading data teams and expertise in SQL and cloud analytics platforms.
The predicted salary is between 100000 - 120000 £ per year.
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
- 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.
Location
- Cambridge, United Kingdom.
- Employment Type: Full time.
- Location Type: Hybrid.
- Department: GTM Strategy & Operations.
Head of Data employer: Gearset
At Gearset, we pride ourselves on being an exceptional employer, fostering a culture of collaboration and support that empowers our employees to thrive. As a Mid-Market Account Executive, you'll enjoy flexible working arrangements, generous personal development budgets, and a commitment to your growth within the Salesforce ecosystem. With a focus on meaningful impact and a strong emphasis on teamwork, you'll be part of a dynamic environment where your contributions are valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data
✨Get Involved in Data Science Meetups
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✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Head of Data at Gearset.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Gearset.
✨Apply Directly through Our Website
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We think you need these skills to ace Head of Data
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Gearset, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Gearset. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Gearset
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Gearset!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
