Lead Data Product Architect

Nordic Investin Group•Stockholm, ME

About The Position

Nordic Investin is recruiting a Lead Data Product Architect on behalf of a partner company strengthening its capability in domain-owned data products with clear contracts, quality and governance. The role connects data product design, domain modelling and interoperability, while bringing discipline to governance and platform strategy. The aim is practical, sustainable progress that colleagues can use and leaders can evaluate. The position involves visible leadership and disciplined decision-making. The successful candidate will work with product, architecture, security, operations and domain colleagues, using short feedback loops, evidence from real systems and direct communication. They will make trade-offs visible, identify when decisions require wider expertise, and move work forward without unnecessary process. Security and operability are expected to be considered in the design. The role offers meaningful ownership and the opportunity to influence both the solution and the decisions around it. The partner company, employment model, compensation, start date and working arrangement will be explained during the recruitment process.

Requirements

Relevant experience delivering domain-owned data products with clear contracts, quality and governance in a demanding environment.
Strong working knowledge of data product design and domain modelling.
Practical experience applying interoperability and governance.
Ability to assess priorities, risks and trade-offs involving platform strategy.
Evidence of clear stakeholder communication and dependable end-to-end ownership.
Professional English and judgement to work with sensitive or business-critical information.

Nice To Haves

Experience from large enterprises modernising central data estates.
Exposure to operating models in a cross-functional or multi-team environment.
Swedish language skills or experience working across Nordic organisations.
A background in product engineering, platform work, enterprise technology or consulting, with technical depth connected to user and business consequences.
Adjacent experience demonstrating transferable judgement; direct experience with domain-owned data products is valuable.

Responsibilities

Own the practical direction for domain-owned data products with clear contracts, quality and governance.
Translate goals and constraints into a clear approach for data product design and domain modelling.
Establish useful standards, routines or decision artefacts around interoperability.
Coordinate stakeholders and dependencies affecting governance.
Use evidence and measurable outcomes to improve platform strategy.
Strengthen knowledge sharing and sustainable ownership through operating models.
Make trade-offs visible, recognise when decisions require wider expertise, and move work forward without unnecessary process.