Head of Data Strategy leading and developing data initiatives for Zurich's GI Business. Focusing on data strategy, governance, and analytics while fostering collaboration across teams.
About the role
- Data & Insights Lead driving Unity Advisory's data strategy and insights capability. Shaping scalable data foundations and empowering decision-making across a fast-scaling AI-driven advisory business.
Responsibilities
- Own and deliver Unity Advisory’s data and insights vision, designing and optimising a modern, scalable data architecture and stack.
- Lead the development of robust data models, semantic layers, and transformation workflows using DBT, SQL, and Python.
- Define and implement data governance, quality, and compliance frameworks, ensuring alignment with GDPR, cookies, and relevant industry regulations.
- Build and embed a strong self-service analytics culture using BI tools such as Looker, Tableau, and PowerBI, enabling teams to make data-driven decisions.
- Lead the optimisation of data tracking and collection frameworks, with a focus on high-quality first-party data strategies (e.g. Snowplow).
- Deliver measurable efficiency gains through automation, improved processes, and thoughtful technology choices.
- Partner with senior stakeholders to ensure data solutions directly support commercial and strategic priorities.
- Establish best practices across data engineering, observability, documentation, testing, and knowledge sharing.
- Support experimentation with advanced analytics and AI/ML use cases where appropriate.
- This role will initially operate in a hands‑on capacity, with the opportunity to shape and build a data team as the function scales.
Requirements
- 7+ years’ experience leading data, analytics, and BI functions in complex organisations or consulting environments.
- Strong commercial mindset with the ability to translate data into actionable business insight.
- Deep expertise across BI & Analytics: Looker, Tableau, PowerBI, hex.tech, Streamlit.
- Data Modelling & Transformation: DBT, SQL, Python.
- Warehousing & ETL: Snowflake, BigQuery, Fivetran, Airbyte, Snowpipe.
- Cloud Platforms: AWS and/or Google Cloud.
- Proven experience designing and embedding data governance, quality, and compliance frameworks (including GDPR and cookie compliance).
- Track record of building self-service analytics capabilities and scaling data culture across organisations.
- Demonstrated success in driving measurable efficiency improvements and cost savings through data and automation.
- Strong leadership, mentoring, and stakeholder management skills, with experience influencing senior leaders.
- Programme and change management experience using tools such as Jira, Confluence, and Asana.
- Comfortable operating in a hands-on, fast-growth, entrepreneurial environment.
Benefits
- A truly hybrid and flexible working environment.
- Opportunity to work from the forefront of AI-driven advisory services.
- Part of a high-impact finance function.
- Empowered to shape how systems and processes scale.
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