(Senior) Data Governance Consultant (m/f/d)
Statworx Frankfurt am MainEst. Est. EUR 75,000–105,000 / yearSenior
Estimated range based on role, country and industry — not published by the company.
Key requirements
- Data Science
- Stakeholder Management
- Consulting
About us statworx is a leading consulting and development company for Data & AI in the DACH region. For more than a decade, we have supported companies through consulting, development, and training, delivering more than 1,000 successful projects for over 100 clients across almost all industries.
From AI strategy to implementation, we develop innovative solutions. With our expertise in AI Strategy, Generative AI, Agentic AI, Data & AI Engineering, and AI Infrastructure, we support companies throughout their entire AI transformation.
Our mission: Creating value from Data & AI.
Our AI Strategy team supports clients in designing and implementing their Data & AI strategy. In doing so, we always aim to unlock the full potential of data, data science, and AI. Working closely with our clients, we address a wide range of strategic challenges, from the initial assessment of AI maturity and the formulation of Data & AI strategies to the development and implementation of new operating models.
Your tasks As a (Senior) Data Governance Consultant, you work at the intersection of business, technology and organization . You help our clients establish the ownership, processes and capabilities needed to make their data trustworthy, accessible and usable . From defining governance frameworks to embedding them in everyday operations, you enable organizations to create business value from data and AI.
Assess clients’ data governance maturity , identify organizational and operational gaps, and develop actionable roadmaps aligned with their business and data strategies.
Design and implement data governance frameworks , including policies, standards, decision bodies and escalation processes.
Develop data governance operating models with clear roles and responsibilities for data owners, data stewards and cross-functional governance teams.
Help clients establish practical approaches to data quality management , including quality rules, monitoring, issue resolution and accountability.
Shape metadata management practices , including business glossaries, data catalogs and data lineage, to improve transparency and a shared understanding of data.
Translate governance requirements into processes and tooling needs , working closely with business stakeholders and technical experts from our development department.
Prepare and facilitate workshops, develop training and communication materials, and support the adoption of governance practices across business and IT teams.
Connect governance initiatives to data products and AI use cases , define measures of success, and communicate recommendations through clear, management-ready deliverables.
Additional responsibilities as Senior Data Governance Consultant:
Lead data governance projects or major workstreams end-to-end , taking responsibility for scope, approach, deliverables, quality and stakeholder alignment.
Act as a trusted advisor to senior client stakeholders on data governance, ownership and operating model decisions.
Guide clients through organizational change , resolve competing stakeholder priorities and ensure governance practices become part of day-to-day operations.
Further develop our data governance methods, frameworks and service offerings , and contribute to business development through proposals and client discussions.
Mentor junior colleagues and promote knowledge sharing on data governance and data management.
Your profile Degree in data science, artificial intelligence, statistics, business or economics, computer science or business informatics, engineering , or a comparable quantitative, technological or governance-oriented field.
2+ years of relevant professional experience in full-time in data governance, data management or data strategy, ideally in consulting or a relevant role in industry.
Practical experience in one or more of the following areas: Design and implementation of data governance frameworks and policies
Definition of data ownership, stewardship r
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