Data Management Manager (Permanent) in Bristol

As an established and industry-leading packaging data company, we're investing heavily in building products that help organisations make smarter decisions about their packaging — improving sustainability while reducing costs. At the centre of this is a platform that brings together fragmented packaging data, applies complex regulatory logic, and enables customers to model packaging decisions across multiple markets.

This role will play a key part in enabling that shift, ensuring our data platform is structured in a way that supports more advanced analytics and machine learning use cases over time. Data is a critical, funded investment area for our business, with backing already in place and a clear mandate from leadership. More than 500 brands and retailers, including some of the UK's biggest household names, rely on us to navigate complex packaging decisions.

We're evolving from a compliance-focused organisation into a data-first product company, building the digital infrastructure that will shape the future of packaging at scale. At the centre of this is a next-generation data platform, powering intelligent tools that help businesses make smarter, faster, and more profitable decisions. We're a commercially strong, mission-driven, certified B Corp, using technology to solve complex problems with a direct impact on sustainability.

You'll define and own our data strategy, setting direction for how data is structured, used, and scaled across the business:

• Defining the data architecture
• Shaping how data supports Product and Engineering
• Building the data platform from the ground up

A key challenge will be helping us define what belongs in the data layer versus the application layer - an area that's still evolving as the platform develops. You'll take ownership of how data is ingested, structured, validated and made usable across the platform, ensuring it's scalable, traceable and aligned to both regulatory and product needs.

As the platform matures, you'll also help enable more advanced capabilities, including predictive modelling, scenario optimisation and machine learning use cases, ensuring the data foundations are built to support them properly. In the early stages, you'll work closely with external delivery partners while building out an internal capability over time.

Key responsibilities include:

• Designing and implementing the core data architecture
• Turning fragmented, manual processes into robust, scalable data pipelines
• Working with messy, multi-source data and shaping it into something usable
• Partnering closely with Engineering and Product to ensure data enables real outcomes
• Introducing the right level of structure, governance and data quality standards
• Structuring data in a way that supports predictive modelling, optimisation and future machine learning use cases
• Working with Product and Engineering to identify where data can unlock more intelligent, automated decision-making

Build and scale the data team from the ground up:

• Establish how data operates as a core capability across the business
• Over time, this may evolve to include capability across analytics, data science and machine learning, depending on how the platform and product develop.

You'll have turned fragmented, manual data processes into a structured, product-ready platform and built the team and foundations behind it, with the groundwork in place for more advanced data and AI capabilities. This is a rare opportunity to join Ecosurety at the exact point we're building a new data and product capability. You'll help define the strategy, build the platform and create the function from the ground up, with genuine backing from the business.

Key qualifications include:

• Built and scaled data platforms in SaaS or data-led environments
• Worked across data architecture, pipelines and modelling — not just one area
• Designed and maintained ETL/ELT pipelines, ideally using tools like Azure Data Factory
• Strong SQL skills, including complex querying and performance optimisation
• A solid understanding of data modelling concepts such as star/snowflake schema and slowly changing dimensions
• Experience working in environments where data supports modelling, forecasting or machine learning
• Exposure to building or enabling data products that go beyond reporting into decision support or automation
• Have experience building teams and capabilities from scratch
• Know how to balance pragmatism with long-term thinking

Hybrid working (Bristol, 50% office). Significant investment in data as a core business priority. Opportunity to build a data platform and team from the ground up. Long-term progression as we scale.

If you're looking for the opportunity to define strategy, build a team and create the foundations of a genuinely data-first product business, we'd love to hear from you.