Director of Talent shaping hiring and development strategies for Spindrift’s team. Fostering employee experience and scaling talent practices in a growing company.
About the role
- Director of Data Engineering leading data strategy for Foods Connected's transition to a data insights company. Shaping how supply chain data is managed and utilized across the organization.
Responsibilities
- Define and execute the enterprise data strategy aligned with Foods Connected's product roadmap and commercial objectives
- Partner with the CTO and executive leadership to position data insights as a core differentiator in our market
- Establish data governance frameworks, policies, and standards appropriate for a PE -backed business preparing for growth
- Build business cases and ROI models for data infrastructure investments
- Represent data capabilities in product strategy discussions, helping shape our evolution toward data insights products
- Define and monitor data quality, accessibility, and utilisation metrics across the business
- Build trusted advisor relationships with heads of Professional Services, Finance, HR, Sales, and Operations to understand their data challenges and deliver solutions
- Lead development of self-service analytics capabilities that empower non-technical users across the business
- Partner with Finance on financial reporting, forecasting models, and business performance analytics
- Support Professional Services with customer success metrics, utilisation reporting, and service delivery insights
- Deliver executive dashboards providing visibility into key business metrics and trends
- Drive enterprise data literacy, promoting a data-driven culture across all functions
- Translate complex data insights into actionable recommendations for stakeholders at all levels
- Set technical direction for data architecture on Microsoft Fabric, guiding technology choices for product and business intelligence needs
- Provide architectural oversight for data pipelines, warehousing solutions, and analytics platforms without necessarily being hands-on day-to-day
- Ensure compliance with data privacy regulations (GDPR) and food industry requirements
- Champion adoption of modern data practices including real-time analytics and ML-ready data infrastructure
- Work closely with the Data Architect to evolve our data systems and address infrastructure gaps
- Enable advanced analytics and AI/ML capabilities that serve both customer-facing features and internal intelligence
- Directly manage the Data Architect and Senior Data Engineer; provide leadership to the BI Reporting team
- Foster a culture of technical excellence, innovation, and continuous learning within a small, high-impact team
- Conduct performance reviews, provide coaching, and create clear career development paths
- Recruit selectively to build capability as needs evolve, without growing headcount for its own sake
- Ensure the team understands how their work contributes to Foods Connected's commercial success
Requirements
- Significant experience in a senior data leadership role within a SaaS or product-driven B2B environment
- Proven track record of developing and executing data strategies that deliver measurable business outcomes
- Demonstrated ability to influence and enable data-driven decision making across multiple business functions
- Experience working in PE -backed or growth-stage companies with mature governance expectations
- People management experience, with evidence of developing individuals rather than just scaling headcount
- Strong SQL and data modelling expertise
- Experience with modern cloud data platforms, preferably Microsoft Fabric, Azure Synapse, or similar lakehouse architectures
- Familiarity with Power BI or equivalent BI/visualisation tools
- Understanding of data pipeline design, ETL/ ELT patterns, and orchestration approaches
- Knowledge of data governance, quality frameworks, and metadata management
Benefits
- Competitive Base Salary
- Generous Holiday Package - 25 Days + 10 Public Holidays
- Private Medical, Dental & Vision
- Employee Wellness Program and Classes
- Flexible model of hybrid working
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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