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Head of Data
Pinpoint Applicant Tracking System. Set the data strategy and guidelines for building with and using trusted data sources .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data strategy and management, with a strong focus on building and maintaining data pipelines, ensuring data quality, and delivering actionable insights for non-technical teams. Proficient in SQL, Python, and cloud data warehousing, with a proven ability to connect data initiatives to business outcomes.
Highest-signal resume keywords
Data Strategy OwnershipExpert SQLData ModellingBigQuery ExperienceCommercial Judgement
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data StrategyData ModellingSQLPythonBigQueryELT ToolsMachine LearningStatistical ModellingEvent StreamingData Products
Soft Skills
Clear CommunicationLeadershipIndependent Work
Tools & Technologies
DataformDbtFivetranHightouchSegmentPostHogPub/SubKafkaVertex AILLM Pipelines
Industry Keywords
B2B SaaSCustomer IntelligenceData PipelineData DictionaryCustomer Insights
Tech Stack
Tools & technologiesBigQueryCloudKafkaPythonSQL
About the role
Key responsibilities & impact- Set the data strategy and guidelines for building with and using trusted data sources
- Advise senior leadership on data ideas, assess their value, and deliver high-impact versions
- Own data for the new customer-facing initiative with the CEO
- Get initiative outputs into the in-house customer intelligence platform
- Enable product managers to pull product usage data independently
- Partner with product managers early to ensure the right data is captured
- Provide Customer Success, Sales and Marketing with clear views and actionable customer insights
- Own the customer intelligence platform end to end, including its roadmap
- Own RecTrends, the public benchmarking site
- Own the data pipeline from source to insight, including monitoring and data dictionary
- Ensure data is clean and documented for safe AI-tool usage
- Build machine-learning benchmarks from customer data with the AI engineering team over time
- Maintain pipeline reliability for month-end and other financial processes
- Work independently as the first data leader, reporting to the CFO
Requirements
What you’ll need- UK based and fully remote, working UK hours
- Ownership of data strategy or a whole data function, ideally in B2B SaaS
- Experience designing and building a data stack in a lean team
- Expert SQL and data modelling (Dataform or dbt)
- Strong Python and code managed properly in version control
- Deep hands-on experience with BigQuery or a similar cloud warehouse, such as Snowflake
- Experience with modern ELT and judgement to pick tools based on merit, cost and maintainability
- Track record of data products used by non-technical teams, not just dashboards
- Experience turning raw product usage data into actionable metrics
- Commercial judgement connecting data work to revenue, retention and strategy
- Ability to explain clearly to senior leaders and non-technical teams, in writing and in meetings
- Daily use of LLMs and agentic tools, with engineering depth to identify errors and make data safe and reliable
- Practical ML or statistical modelling on real business problems is a bonus
- Experience with event streaming such as Pub/Sub or Kafka is a bonus
- Experience with Vertex AI or LLM pipelines is a bonus
- Experience with Fivetran, Hightouch, Segment or PostHog is a bonus
Benefits
Comp & perks- Comprehensive healthcare: excellent medical, dental and vision coverage for you and your family
- Unlimited holidays
- Mental health support: unlimited, immediate access to professional counselling via Spill
- Retirement contributions: 401k or pension contributions depending on your location
- Remote first: work where you're most productive, with flexibility and trust as the default
- Equity with real upside: share in the long term value you help create
- Fully paid parental leave: up to 16 weeks of paid leave for new parents
- Learning budget: annual funds for courses, books or anything that supports your growth
- Team meetups in London every quarter