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Reporting to our VP of Operations, you will be responsible to lead the end-to-end delivery of data and analytics projects across our organisation. You will ensuring that data solutions are delivered on time, to quality standards, and aligned with strategic business objectives. You will play a pivotal role in shaping how data platforms, ETL pipelines, transformation layers, and analytics capabilities are delivered, governed, and operationalised. In addition to delivery excellence, you will be accountable for data quality, data hygiene, governance, and trust across our data ecosystem - ensuring that dashboards, reports, and data products are accurate, reliable, and trusted by the business. This role sits at the intersection of Data, Technology, and Operations, and is ideal for a senior delivery leader who is both technically fluent in data platforms and strategic in their leadership approach.
Job Responsibility:
Drive the end-to-end delivery of high-impact data and analytics programmes across ingestion, ETL/ELT, transformation, and analytics platforms
Own complex delivery lifecycles - from strategy and planning through QA, release, and operational handover
Partner with senior leaders to turn business strategy into data delivery roadmaps that create real commercial value
Build trusted, enterprise-grade data quality, governance, and QA frameworks that power confident decision-making
Establish strong delivery governance, controls, and reporting that keep programmes on track and risk managed
Lead and inspire multi-disciplinary teams, ensuring the right people, skills, and capacity are in place to succeed
Embed reliable, scalable data into business-as-usual operations, not just project delivery
Help shape the future of the organisation’s data ecosystem through continuous improvement, innovation, and delivery excellence
Requirements:
3-5 years of experience in project management, with at least 2 years in data project delivery
Familiarity with Agile methodologies and project management tools
Experience with Wrike a benefit
Proven senior leadership experience in data delivery, data transformation, or analytics programme management
Strong track record delivering complex, enterprise-scale data programmes
Experience leading multi-disciplinary teams in large organisations
Background in embedding data platforms into operational environments
Experience with cloud-based data platforms (e.g., AWS, Azure, Google Cloud)
Experience with modern data platforms (cloud data warehouses, lakehouses, BI platforms)
Strong understanding of ETL/ELT pipelines, data transformation frameworks, and data architectures
Strong grasp of data QA, testing, validation, and governance frameworks
Excellent communication and interpersonal skills to work with both technical and non-technical stakeholders
Strong problem-solving skills and the ability to manage competing priorities in a fast-paced environment
Team-oriented mindset with flexibility to adapt to evolving business needs
What we offer:
Discretionary annual bonus scheme
Work remotely for up to 60% of your days
Flexible working hours between 8am and 6:30pm
Accumulate one paid day each month (2 hours per week) for self-development
Access to Jellyfish Learn
14 weeks of paid leave for primary caregivers
4 weeks of paid leave for secondary caregivers
£1000 (or equivalent) towards courses for returning primary caregivers