Analyst - Global HR Business Data Steward
At a glance
Mid-level Data Architecture & Governance role at Merck KGaA. Bangalore.
Pay not stated Data Architecture & Governance salary
dataroles summary, based on the employer's posting.
What you'll do
- Keep employee records reliable across HR platforms and the applications that use their data
- Set shared data rules, document definitions and lineage, and maintain the HR data catalogue
- Track data quality measures and lead fixes when records are incomplete, inaccurate, late, or inconsistent
- Work with data owners and process leads to improve governance and support dependable HR operations
What you bring
- You have two to four or more years in data governance, stewardship, or HR data management, with hands-on HR systems exposure
- You know SAP SuccessFactors Employee Central and core governance practices such as metadata, lineage, quality, and retention
- You hold a relevant degree or equivalent professional experience, and can apply AI literacy with attention to fairness and privacy
Who this fits
This suits someone who can investigate data problems, coordinate across HR systems, and explain technical concepts in business terms. The role calls for collaboration with data owners and process experts, including facilitating governance working groups.
From the employer
Work Your Magic with us!
Ready to explore, break barriers, and discover more? We know you’ve got big plans – so do we! Our colleagues across the globe love innovating with science and technology to enrich people’s lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us
HR Business Data Steward:
Your Role
Data is at the heart of every great people decision, and in this role, you will be the guardian of that data. As an HR Business Data Steward, you will ensure the quality, consistency, and integrity of employee data across HR systems and connected downstream applications. You will define data standards, manage data cataloguing and lineage, drive data quality improvements, and act as a trusted partner to data owners, process experts, and business stakeholders. Your work directly enables better workforce insights and more reliable HR operations across the organization.
Who You Are
Education:
- You bring 2 to 4+ years of experience in data governance, data stewardship, or HR data management, with hands on exposure to HR systems and downstream data consumers.
- You have a solid understanding of data governance concepts, including data quality, metadata, catalogues, lineage, and retention, and are familiar with HR data domains such as employee and organizational data, payroll, compensation, learning, talent acquisition, and skills data.
- You have functional knowledge of SAP SuccessFactors Employee Central and a strong grasp of HR data operations and processes.
- You are skilled at root cause analysis and corrective and preventive action (CAPA), with the ability to monitor, measure, and improve data quality metrics such as completeness, accuracy, timeliness, consistency, and integrity.
- You communicate clearly and confidently, translating complex data concepts into plain business language for diverse stakeholders, and facilitating data governance working groups with ease.
- You take a multi system perspective, ensuring data consistency across HR platforms and downstream processes including payroll, benefits, analytics, finance, IT, and ERP or HR information system integrations.
- You hold a degree in Human Resources, Information Management, Data Science, Computer Science, or a related field, or bring equivalent professional experience.
- You are AI literate: you understand how artificial intelligence technologies work, can assess their practical applications and limitations in an HR context, and apply ethical considerations around bias, fairness, data privacy, and governance when engaging with AI driven tools and decisions.
Preferred skills and capabilities
- Collaboration: Strong ability to engage with data owners, domain experts, process leads, and SMEs; effective facilitation and collaboration.
- Analytical thinking: Problem-solving mindset with ability to perform root-cause analysis and data quality remediation.
- Communication: Clear written and verbal communication; ability to translate data concepts into business terms.
- Influence and adaptability: Comfortable driving improvements and adapting to evolving regulatory/business needs.
- Attention to detail: Precise in documenting business rules, quality thresholds, and data definitions.
- Multisystem perspective: Experience ensuring data consistency across HR systems and downstream processes (e.g., payroll, benefits, analytics, Finance, IT, ERP/HRIS integrations).
What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!
Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!
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