Data Engineering Manager (Commercial)

Leads the Data Enablement team for the Commercial function (Digital, Retail and B2B), with responsibility for driving data model design, bringing in new data sources and building data pipelines that provide clean, tested, documented and well-defined data. It provides leadership to data engineers, data analysts and data scientists on architectural and design decisions while promoting best practices and governance policies. The postholder acts as a point of contact for multiple business functions, collaborating with stakeholders to create relevant data products that enhance data adoption and increase trust.

• Drive the design of data models, bring in new data sources and build data pipelines, leveraging SQL to provide clean, tested, documented and well-defined data.
• Provide leadership and guidance to data engineers, data analysts and data scientists on architectural and design decisions.
• Evangelise and encourage best practices and governance policies across data work.
• Act as a point of contact for multiple business functions and collaborate with stakeholders to create relevant data products.
• Enhance data adoption and increase trust in data across the organisation.
• Partner with cross-functional stakeholders to understand business requirements and proactively identify and deliver data products with significant impact across functions or regions.
• Enable the team to make timely and informed decisions on consequential, potentially irreversible matters, and provide direction and support to others tackling complex, new problems by identifying underlying issues and root causes.
• Be accountable for the team's technical decisions and solutions, ensuring alignment with Data Engineering best practices and the organisation's overall Tech architecture north star, security and compliance guidelines.
• Promote formal and informal mentoring, provide growth opportunities and build an inclusive team environment that fosters candid feedback.
• Oversee a team of data engineers responsible for the company's data needs for Commercial (Digital, Retail and B2B), working closely with data platform engineers, other data engineers, data analysts, data scientists and stakeholders to deliver valuable data products.

• Proven data engineering expert and leader ready to manage a data engineering team, accountable for technical delivery, quality and hiring in the Data Engineering space.
• 8+ years of related experience or equivalent, with deep technical expertise in data warehousing, data modelling and ELT concepts, and experience in SQL, Python or equivalent programming.
• Significant experience partnering with Commercial stakeholders in areas such as Ecom, Retail or Sales, translating complex business needs into robust data solutions and high-quality data models.
• Knowledge of social media and digital marketing data sources, POS and customer data platforms, EDI systems, data science models such as MMM and CLV, and providing customer insights through data-driven insights.
• Proven experience in managing one or more teams with Individual Contributors (ICs) under direct management.
• Ability to empower a team to ship high-quality code at pace, helping them navigate trade-offs between perfect and production-ready.
• Expert knowledge of data infrastructure, APIs, data pipelines, observability and workflow orchestration in distributed cloud environments, with hands-on experience on cloud platforms and automated CI/CD.
• Proven familiarity with AI tooling for data such as Analytics LLMs/conversational analytics and demonstrable knowledge of using AI to innovate in the data sphere.
• Exceptional communication and team-player skills, with the ability to guide team decisions, foster consensus through professional influence, and convey complex technical information to diverse audiences.

• Hands-on experience with GCP.