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Magyarország
Hybrid
Work Schedule
Environmental Conditions
Job Description
As part of the Thermo Fisher Scientific team, you’ll discover meaningful work that makes a positive impact on a global scale. Join our colleagues in bringing our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. We provide our global teams with the resources needed to achieve individual career goals while helping to take science a step beyond by developing solutions for some of the world’s toughest challenges, like protecting the environment, making sure our food is safe or helping find cures for cancer.
DESCRIPTION:
The Data Governance Manager will support the launch of the SSC Data Office by driving the hands-on execution of the Data Owner use cases. This role will map current data usage, document definitions, identify critical data elements, support data quality assessment, maintain governance documentation, and coordinate remediation actions across business, operations, IT, EDP, and Data Delivery teams.
The role is highly execution-focused and will ensure that the governance framework becomes practical, documented, and usable in daily operations.
1. Map current data usage and dependencies
Identify how key datasets are currently used by SSC teams, business functions, reporting teams, and operational users.
Document source systems, EDP availability, reports, dashboards, extracts, manual files, transformations, and downstream consumers.
Capture current business definitions and known differences across ERPs, regions, workstreams, and functions.
Maintain a data usage catalogue for the first use case.
2. Support critical data element definition
Work with Data Owners, Data Stewards, GPOs, operations SMEs, IT, and Data Delivery to identify critical data elements.
Document business definitions, source fields, system-specific variations, owners, stewards, consumers, quality rules, and known issues.
Prepare materials for definition review and approval in governance forums.
Maintain glossary and metadata documentation for the pilot domain.
3. Coordinate data quality assessment and monitoring
Support data profiling activities with Data Delivery, IT, or analytics teams.
Document data quality issues related to completeness, validity, duplication, consistency, timeliness, and ownership.
Maintain a central issue log and remediation backlog.
Track issue owners, root causes, actions, due dates, SLA status, and recurring problems.
Support the creation of data quality scorecards for the pilot use case.
4. Support governance forums and stakeholder engagement
Prepare agendas, pre-reads, decision logs, action trackers, and follow-up materials for stewardship and governance meetings.
Coordinate workshops with operations teams, master data teams, business consumers, IT, and Data Delivery.
Ensure decisions, assumptions, definitions, and open questions are clearly documented.
Follow up with stakeholders to drive timely completion of actions.
5. Support EDP onboarding and data product readiness
Document which data is already available in EDP, partially available, or missing.
Capture business requirements for missing data that may need to be onboarded to EDP.
Support prioritization of EDP onboarding based on business criticality, reuse potential, risk, and scalability.
Work with Data Delivery teams to support requirements for semantic models, certified datasets, and data products.
6. Maintain governance documentation and controls
Maintain templates for critical data elements, data ownership, stewardship, data quality rules, issue management, and change impact assessment.
Ensure no proposed change to data definitions, datasets, or semantic models is made without documented usage, consumers, and impact assessment.
Support alignment with enterprise data governance, privacy, security, and compliance expectations.
REQUIREMENTS:
Experience in data governance, data analysis, business analysis, process improvement, SSC operations, finance operations, or reporting.
Good understanding of one or more SSC workstreams: PTP, OTC, RTR, or Customer Care.
Ability to document complex data flows, definitions, business rules, and stakeholder dependencies.
Strong analytical and problem-solving skills.
Strong Excel, Power BI, data profiling, or reporting literacy.
Ability to work with business users, operations SMEs, IT teams, and analytics teams.
Strong organization skills and attention to detail.
Comfortable managing action logs, issue trackers, workshops, and governance documentation.
Practical understanding of ERP data, EDP/data platforms, semantic models, or master data is preferred.
