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Senior Director - Data Governance, Modelling and Engineering Lead at DSM

Santanyí, Balearic Islands, Spain -

Full Time

Start Date

Immediate

Expiry Date

19 Jan, 26

Salary

0.0

Posted On

21 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Governance, Data Quality, Data Management, Data Engineering, Data Integration, Data Architecture, Data Pipelines, Automation, Compliance, Data Stewardship, Data Council, Data Cleansing, Data Standards, Risk Management, Legal Compliance, Data Ownership

Industry

Chemical Manufacturing

Description

Develop and enforce a robust data governance framework, including policies, procedures, standards, and data ownership models. This involves defining data domain structures, stewardship roles, and chairing or contributing to the Data Council for strategic decisions on data initiatives. Lead initiatives to improve data quality and consistency for critical data assets. Implement enterprise-wide data management practices and golden record hubs to unify core data. Oversee data cleansing, standardization, and resolution of data issues to maintain a single source of truth for key data entities. Oversee the engineering of data pipelines, integration solutions, and data platforms. Ensure data from various sources is collected, integrated, and curated reliably for consumption. Promote modern data architecture and drive the adoption of reusable data pipelines and automation in data processing. Work closely with the Data + AI Product Management Lead and the Solutions and Platforms Lead to align on infrastructure and tooling, ensuring that data engineering efforts provide ready-to-consume, high-quality data products for multiple use cases. Collaborate with CISO team, Risk management teams, RAI office, and Legal to implement controls that protect sensitive information and ensure compliance with regulatory, legal, and ethical data mandates. Establish guidelines for data access, consent, and usage, and act as an escalation point for data-related compliance issues or decisions.

Responsibilities

Develop and enforce a robust data governance framework and lead initiatives to improve data quality and consistency. Oversee the engineering of data pipelines and ensure reliable data collection and integration from various sources.