Data Governance Manager
Data Governance Manager voor ASML, 40 uur per week, deels op locatie in Veldhoven, detachering via TTR Consultancy.
- Locatie
- Veldhoven
- Uren
- 40 uur per week
Eisen
- Knowledge of or experience with third-party data, SAP MDG, additional data attributes and golden-record principles
- Experience in documenting data sources, assumptions, limitations and governance constraints
- Strong stakeholder management skills and the ability to connect Legal & Compliance, business, management and technical teams
- Experience in Data Governance, Data Management and analytics within a complex enterprise environment
- Ability to work within established standards, policies and governance frameworks
- Proactive, service-oriented and skilled at networking, with the ability to connect the right people and expertise
- Excellent communication skills and the ability to speak the language of both business and technology
- Patient and persistent, with the ability to build support and bring different interests together
- Knowledge of data governance principles, data architecture, data platforms, and the identification and assessment of data sources
Volledige omschrijving
Detachering, 40 uur per week, locatie Veldhoven, deels op locatie.
Purpose of the Role: Provide specialist Data Governance support to Legal & Compliance and the Chief Data Office, in line with clients standards, policies and governance principles. The role acts as a connecting link between Legal & Compliance, the business, management, Data Management, Analytics and IT, and supports the planning and delivery of analytics for which the relevant data is largely owned outside Legal & Compliance.
Responsibilities: Act as the Single Point of Contact (SPOC) for Legal & Compliance Analytics. Plan analytics delivery for Legal & Compliance and coordinate data-related matters involving multiple parts of the organization. Navigate ASML’s complex data landscape to identify and obtain the required data and data sources, including situations where Trusted Data Sets are not available. Coordinate with Data Management, Analytics, IT and business stakeholders within the applicable data governance framework.
Document the data sources, assumptions, limitations and governance constraints used in analytics. Translate business needs into technical requirements and vice versa, and support senior stakeholders in decision-making and building support. Plan and support the mandatory Third Party Risk Management initiative, including missing third-party data in SAP MDG and the additional data attributes required. Apply agreed design principles to work towards a golden record for third-party data and support engagement to obtain buy-in for the required investment.
Contribute to roadmaps, quarterly planning and periodic meetings, and report on progress, findings and identified risks. Knowledge, Experience and Soft Skills: Experience in Data Governance, Data Management and analytics within a complex enterprise environment. Knowledge of data governance principles, data architecture, data platforms, and the identification and assessment of data sources. Experience in documenting data sources, assumptions, limitations and governance constraints.
Knowledge of or experience with third-party data, SAP MDG, additional data attributes and golden-record principles. Ability to work within established standards, policies and governance frameworks. Strong stakeholder management skills and the ability to connect Legal & Compliance, business, management and technical teams. Excellent communication skills and the ability to speak the language of both business and technology. Proactive, service-oriented and skilled at networking, with the ability to connect the right people and expertise.
Patient and persistent, with the ability to build support and bring different interests together.
Key Stakeholders: Legal & Compliance and the Chief Data Office. Data Management, Analytics and IT. Senior business stakeholders and management across different parts of the organization. Technical teams, data platform teams, programme managers, business analysts and consultants within project teams.
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