The Company
Purever Group is an international industrial group operating manufacturing and engineering businesses across Spain, Portugal, France, Ireland/UK and Italy, built up through a series of acquisitions. The Group IT function is mid-way through a foundation-first transformation: consolidating fragmented, historically siloed systems and practices — across ERP, IT service management, security and data — into consistent, group-wide standards, without losing the operational autonomy that makes each business unit effective.
Data is one of the last major pieces of that foundation. Group entities run different ERPs and different reporting habits, much of it still manual and Excel-based. The Group has committed to Microsoft Fabric as its long-term data platform and is mid-programme on “Helix”, the initiative building a unified data lakehouse, governance model and reporting layer to serve Finance consolidation first, and Operations, Sales and HR next.
The Role
This is a newly elevated, group-wide leadership role, created as the Group's data function matures beyond a single-person, execution-heavy setup into a properly resourced discipline with its own architecture, governance and delivery capability. The Group Data Manager will report directly to the Group CIO and sit alongside the heads of ERP, Infrastructure & Digitisation and Regional IT on the Group IT leadership team.
The mandate is broad and largely green-field: define and own the Group's data architecture and governance model, take executive ownership of the Helix programme, manage a multi-vendor delivery ecosystem, and build the internal data team that does not yet exist. This is a role for someone who wants to build a function, not maintain one — with direct exposure to the CIO, Finance leadership and the Group's AI & Data governance council from day one.
Key Responsibilities
Data Strategy & Architecture
- Define and own the Group's target data architecture on Microsoft Fabric (lakehouse / medallion patterns, data pipelines, semantic models), while keeping the design open to other platforms and technologies where they genuinely serve the Group better.
- Personally build and maintain core Fabric artefacts — pipelines, lakehouse structures, semantic models, reports — in addition to specifying them for vendors and future team members; today there is no delivery team to delegate to.
- Lead the migration path away from legacy, on-premise, single-vendor data setups towards a scalable, governed, cloud-native architecture.
- Act as the data voice on the Group's Architecture Review Board, ensuring every AI and data initiative across the Group aligns to a single architectural direction rather than fragmenting into local solutions.
Data Governance & Compliance
- Stand up the Group's first formal data governance framework: data catalog, data quality rules, ownership and stewardship model (RACI), naming conventions, and change/version control for data assets.
- Own the Group Master Data programme (chart of accounts, cost centres,
customers, products) that today blocks reliable cross-entity reporting.
- Ensure data practices meet GDPR and local data-protection requirements across all jurisdictions the Group operates in, working closely with local IT and legal/DPO functions.
Helix Platform Leadership
- Take executive ownership of Helix, the Group's Fabric-based data platform programme, from its current early-stage footing through to a mature, governed, multi-domain reporting and analytics platform.
- Own the programme roadmap, budget and prioritisation, balancing the Finance function's near-term reporting needs against the longer-term architectural foundation the Group needs.
- Define and enforce a group-first principle: local or business-unit data initiatives may pilot new ideas, but the platform architecture is decided and owned at Group level.
Vendor & External Resource Management
- Own the Group's portfolio of external data, BI and Fabric delivery partners end-to-end: sourcing, RFQ/RFP management, contract negotiation, and ongoing performance and delivery accountability.
- Run competitive vendor selection processes for data services and longer-term data-foundation partnerships, several of which are already in flight and will need to be concluded by whoever takes this role.
- Actively manage the balance between vendor delivery and building sustainable internal capability, so the Group is not permanently dependent on any single external partner.
Team Building & Leadership
- Build the Group Data team from its current near-zero headcount, starting with an already-approved Data Analyst hire, and grow it deliberately as the platform and governance model mature.
- Coordinate — and over time formally integrate — data-adjacent contributors who today sit informally in other parts of the business, into a coherent Group Data function.
- Establish the working practices, documentation and knowledge transfer needed so the function is not dependent on any single individual.
Stakeholder Management & Governance Participation
- Partner closely with the business — Finance today, as executive sponsor of the Helix programme, and other functions as the platform's scope extends — to translate reporting requirements into a durable data architecture rather than one-off reports.
- Represent data topics in the Group AI & Data Council, chaired by the CIO, and ensure AI use cases are built on governed, trustworthy data rather than ad hoc extracts.
- Build trusted working relationships with Regional IT leads and local business stakeholders across Portugal, France, Ireland, Spain and Italy,
respecting local ways of working while driving convergence on group standards.
Candidate Profile
Essential
- Solid, hands-on experience in data architecture and engineering — technically seasoned enough to own design decisions personally — and ready to take on a broader data-management remit for the first time, having already demonstrated leadership capability in practice (for example, leading project teams or acting as technical lead across cross-functional initiatives) even without years spent formally carrying a manager title.
- Genuinely and lastingly hands-on: able and willing to personally build pipelines, data models and reports, not only specify architecture for others to build — today because there is no delivery team yet, and going forward because that is how this person is expected to keep operating, even as the team grows and what they build personally shifts toward the hardest or highest-value problems.
- Proven track record designing and implementing modern data architectures: data lake / warehouse separation, lakehouse or medallion patterns, and migration away from legacy on-premise ETL.
- Direct, hands-on experience with the Microsoft Fabric ecosystem (OneLake, Data Factory / pipelines, Power BI semantic models, Purview) or clearly transferable Azure Synapse / data platform experience — current, practitioner-level, not purely historical.
- Demonstrated ownership of a data governance programme: data catalog, data quality, master data management, ownership/RACI frameworks — DAMA-aligned practice is a plus.
- Substantial experience managing external vendors and consultancies: running RFQs/RFPs, negotiating contracts, and holding delivery partners accountable.
- Experience building or significantly growing a data team, including hiring, coaching and career development.
- Comfortable operating in a decentralised, multi-entity, multi-ERP environment; post-acquisition or multi-country integration experience is a strong advantage.
- Working knowledge of GDPR and data-privacy practice across multiple EU jurisdictions.
Highly Valued
- Experience with financial or ERP-adjacent data (consolidation, chart of accounts, cost centres) given the platform's finance-first roadmap.
- Exposure to Business Central or comparable mid-market ERPs, even without owning them directly.
- Prior experience in an industrial, manufacturing or engineering group.
- Familiarity with data-foundation work in preparation for AI/ML use cases.
Languages
- Fluent English and Spanish — required.
- Working knowledge of French, Italian and/or Portuguese — valued, given the Group's operations in France, Italy and Portugal; not all three are required, but any one is a meaningful advantage.
Location & Travel
- Based in Madrid, Spain.
- Occasional travel to Group sites in Portugal, France and Ireland may be required, particularly during the early phase of platform and governance roll-out — this is not expected to be a central, recurring part of the role.
📌 Group Data Manager (Madrid)
🏢 Ardmac
📍 Madrid