Data Governance Manager

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Data Governance Manager - (ERP Project)
role at
Chanelle Pharma
We are seeking a Data Governance Manager to lead the design, implementation, and oversight of our enterprise-wide data strategy.
This pivotal role blends hands-on execution—such as building processes, cleansing data, and structuring governance frameworks—with strategic leadership, including defining long-term data priorities and standards.
In the initial phase, the focus will be on establishing foundational processes, aligning and cleaning historical datasets, and preparing for a major ERP implementation.
Over time, the role will evolve to shape enterprise-wide data governance, optimize cross-functional data usage, and enable data-driven decision-making across the organization.
This position reports directly to the Head of Corporate Development, a member of the Executive Committee, and will collaborate closely with teams across Finance, Commercial, Operations, Quality, R&D, HR, and IT.
As our Data Governance Manager – ERP Project, you will be responsible for:
Company-wide Data Governance
Develop and implement enterprise data governance frameworks, policies, and standards across all functions.
Define data ownership models, accountability structures, and governance processes to ensure compliance and long-term adoption.
ERP Implementation (SAP S/4HANA)
Act as a core team member of the ERP program, responsible for data governance, cleansing, migration, and readiness.
Lead massive data-cleaning efforts on historical datasets and establish standards for new data capture, storage, and formatting.
Ensure mapping and interoperability across diverse systems and functions.
Data Strategy & Operations
Build and execute a data acquisition and generation strategy, including evaluation of external data sources.
Establish processes for collection, validation, storage, and integration across diverse data types, including:
Finance data (transactions, reporting, planning)
Commercial data (sales, marketing, customer analytics)
Manufacturing data (output, efficiency, yields, downtime)
Quality & regulatory data (QA/QC labs, compliance metrics)
Clinical and R&D data (trial results, formulations, pipeline metrics)
HR and workforce data
IT systems data
Build future-proof frameworks to support enterprise-level analytics and insights.
Cross-Functional Influence & Execution
Partner with senior leaders across Finance, Commercial, Operations, R&D, Quality, HR, and IT to enforce governance standards.
Drive cross-business adoption and accountability without direct reporting lines.
Support operational teams in embedding governance and quality practices into daily processes.
Education & Experience
5–10 years' experience in data governance, data management, or related roles.
Proven track record of delivering large-scale data governance programs or ERP-related data initiatives (ERP implementation experience, ideally SAP S/4HANA, is a plus).
Experience handling complex, multi-faceted data sets across multiple business domains.
Strong technical foundation:
Essential: Tableau, SAP (S/4HANA), Excel (advanced).
Bonus: Python, R, or similar analytics tools.
Skills & Competencies
Builder Mindset: Hands-on capability to design and implement new processes and frameworks.
Strategic Orientation: Ability to define long-term data acquisition and governance priorities.
Agile Holistic Thinking: Connects business, data, and technology to drive integrated transformation.
Cross-Business Leadership: Strong influencing skills to drive change across senior stakeholders without formal authority.
Operational Execution: Rigorous project management and discipline to ensure delivery in complex environments.
Applicants from diverse backgrounds, including those returning after a career break or with transferable skills from non-traditional career paths, are encouraged to apply.
We value varied experiences and are committed to fostering an inclusive environment that supports individuals with disabilities.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Pharmaceutical Manufacturing
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