Data Management Lead

We are currently representing a leading global Financial Services firm in the appointment of high-calibre professionals as part of a period of strategic growth and investment.
Our client operates at the intersection of corporate, fiduciary and regulatory services, partnering with private equity houses, investment managers and international financial institutions. Backed by long-term institutional investment and an established global brand, the firm is scaling its capabilities, technology and international footprint.

Our client is looking for an experienced Data Management Lead to join their growing team in Kraków and help build and mature our core data management capabilities.

This is an opportunity to join an organisation at an early stage of its data journey and have genuine influence over how data is structured, managed and used across the business. Rather than inheriting a fully established function, you will help create the frameworks, tools and operating practices that enable trusted reporting, analytics and future AI-enabled capabilities. https://instantimpactcom-my.sharepoint.com/personal/kerrie_carnall_instant-impact_com/Documents/Microsoft%20Copilot%20Chat%20Files/Data_Recruitment_Briefing_Interview.pdf
You will lead a team of Data Management and Data Insight Analysts, working closely with Data Governance, Architecture, IT, Data Engineering, Analytics and business stakeholders to turn data standards into practical, scalable solutions.

Key Responsibilities

- Build and embed an enterprise data management framework covering data quality, metadata, lineage, master data management, reference data management and authoritative data sources.
- Help assess, select and implement the tools required to support the organisation’s developing data management capability.
- Own and develop the enterprise data catalogue and business glossaries, making data easier to discover, understand and use.
- Establish data quality rules, controls, dashboards and remediation processes.
- Define and maintain metadata and lineage standards across data pipelines, platforms and data products.
- Develop master and reference data frameworks across key business domains.
- Build well-defined data products with appropriate ownership, SLAs, lineage and quality controls.
- Own and prioritise the data management backlog, balancing strategic platform development with business use cases.
- Partner with Data Engineering, Architecture, Product and IT teams to embed data management controls into platforms and delivery processes.
- Lead the implementation and adoption of modern data management tooling, which could include Microsoft Purview, Collibra or Informatica.
- Lead and develop a team of Data Management and Data Insight Analysts.
- Identify opportunities to use automation and AI-enabled capabilities to improve data quality, transparency and efficiency.

Skills, Knowledge and Expertise

- Strong experience within data management, data quality or a closely related discipline.
- Proven experience designing and implementing enterprise data management frameworks and standards.
- Strong knowledge of data quality, metadata, data lineage, MDM and RDM.
- Experience building or managing enterprise data catalogues and business glossaries.
- Experience developing data products with clear definitions, ownership, SLAs, lineage and quality rules.
- A good understanding of enterprise data platforms and how they are owned and operated.
- Experience selecting, implementing and driving adoption of modern data management tools.
- Experience embedding data management practices within cloud-based data platforms.
- Previous team leadership experience, including backlog management, prioritisation and planning.
- Strong stakeholder management skills, with the ability to explain complex data topics clearly to both business and technical audiences.
- An understanding of how trusted, high-quality data supports analytics, reporting and responsible AI.