Senior Manager, Data & Analytics & Governance (Hybrid)

Serigor•Malvern, PA

22h•Hybrid

About The Position

We are looking for a Senior Manager of Data Governance who can turn vision into reality and help us build a strong, scalable, and business-aligned data foundation. In this role, you will be instrumental in leading the execution and continuous improvement of our data governance capabilities — ensuring our data is trusted, accessible, secure, and ready to power smarter decisions across the organization. You are someone who thrives at the intersection of strategy and execution. You bring hands-on experience implementing governance practices and understand how to translate high-level frameworks into practical processes, tools, and outcomes. You will partner closely with both business and technology stakeholders to operationalize governance initiatives and embed them into everyday workflows, enabling consistent data definitions, improved quality, and reliable reporting. We need your expertise to drive the adoption of a comprehensive data governance framework — from policies and standards to measurable KPIs and maturity metrics. Your ability to influence without direct authority will be critical as you work across domains, guiding leaders, mentoring data stewards, and fostering a culture of accountability, collaboration, and data literacy.

Requirements

Bachelor's degree required.
10+ years of experience in data management, data governance, or related analytics roles.
Strong knowledge of data governance principles, including data quality, metadata management, and master data management (MDM).
Experience working cross-functionally in a matrixed organization.
Excellent communication, facilitation, and stakeholder management skills.
Demonstrated ability to translate strategy into actionable processes, standards, and deliverables.
Proven experience leading data governance, data management, data quality, and analytics initiatives.
Strong leadership and influence skills, with the ability to guide teams without direct authority.
Ability to develop, operationalize, and continuously evolve data governance strategies and frameworks.
Experience managing and coordinating complex governance programs, projects, and priorities.
Ability to foster data-driven innovation and drive business value through effective data practices.
Skilled in designing, delivering, and championing data governance training and data literacy programs.
Strong understanding of governance compliance, risk management, and data-related regulatory requirements.
Ability to define, measure, and evaluate data governance performance, KPIs, and maturity models.
Knowledge of industry best practices, standards, and tools supporting data governance (e.g., data catalogs, lineage, data quality platforms).
Understanding of data governance laws, regulations, and enterprise policies.
Familiarity with core business processes and the data that supports them.
Hands-on Informatica experience (MDM).
Hands-on Collibra experience.
Experience managing an offshore team.
Hands-on practitioner who can also lead – a current lead or manager role is acceptable.
Data governance mindset plus the change management needed to land it.
Data quality, metadata management and master data management (MDM) principles.
Working cross-functionally in a matrixed organization.
Translating strategy into actionable processes, standards and deliverables.
Governance forums, data stewards and stakeholder facilitation.
Data governance KPIs and maturity models.
Data privacy, access controls and regulatory alignment with legal, security and compliance.
Data governance training and data literacy programmes.

Nice To Haves

Manufacturing industry background
Experience managing offshore resources
Exposure to Copilot / Copilot Studio for AI
Informatica CLAIRE AI
Experience within a large-scale SAP S/4 transformation programme
Snowflake, Power BI or RPA/AI exposure (the wider team's stack).

Responsibilities

Lead the development and ongoing optimization of data governance policies, standards, and best practices aligned to business goals.
Partner with domain leaders and the PMO to prioritize and execute governance initiatives that drive tangible value.
Establish and manage governance processes for data definition, quality, lifecycle, and access management.
Collaborate with data stewards, business owners, and IT to define clear ownership, roles, and accountability.
Facilitate governance forums and working sessions that drive alignment, engagement, and continuous improvement.
Advance enterprise data quality and master data management efforts, including issue resolution and remediation.
Partner with legal, security, and compliance to ensure data privacy, access controls, and regulatory alignment.
Support and expand the use of governance tools such as data catalogs, business glossaries, lineage, and data quality platforms.
Enable transparency and usability of data through improved metadata management, modeling, and data flow optimization.
Develop training and education programs that elevate data literacy and empower teams to effectively manage and use data.
Advise data engineering and BI teams on scalable data modeling approaches and governance-aligned solutions.