Company Description

ERP Logic is a globally recognized SAP Cloud Solutions company, specializing in SAP implementation and application services. Since its inception in 2009, the company has grown significantly to over 1,000 employees and expanded its presence across the United States, Europe, the Middle East, India, and Israel. As one of the top three SAP reseller partners globally for SAP S/4HANA Grow and SAP S/4HANA Rise, ERP Logic serves over 500 customers, including both large enterprises and mid-sized companies.

With deep expertise in SAP S/4HANA and SAP ECC, ERP Logic supports businesses in transitioning to advanced ERP systems with a customer-centric approach and sustainable solutions.

Role Description

Business Data Steward sits at the intersection of business knowledge and data governance, acting as the day-to-day guardian of data quality, metadata, and accountability for a defined set of data assets.

Key Responsibilities

Metadata & Data Catalog

- Own the collection, quality, and ongoing curation of metadata for data assets within your domain including business definitions, classifications, ownership assignments, and sensitivity tagging
- Maintain and improve the quality of business term assignments in the data catalog, ensuring assets are accurately described and easy to find
- Lead the identification and definition of Critical Data Elements (CDEs) for your domain, in collaboration with data owners and the CoE
- Review and rationalize existing metadata coverage, balancing completeness with clarity to improve discoverability for data consumers
- Ensure all new data assets and data products (procured or internally developed)



entering the domain are governed at the point of onboarding metadata complete before assets go live

Data Products & Marketplace

- Collaborate with data engineers and analysts to define, publish, and maintain data products in the Data Marketplace
- Drive adoption of the Marketplace within your domain by working with consumers (analysts, data scientists, data users) to ensure assets are findable, trusted, and accessible
- Certify and maintain data products in alignment with governance standards set by the CoE, ensuring they meet quality and documentation requirements

Data Quality

- Define and agree data quality thresholds for CDEs together with business data owners and technical teams
- Monitor data quality for critical data elements using available tooling, triage flagged issues, and coordinate resolution with the appropriate data owners
- Shift the domain's approach to data quality from reactive to proactive, in alignment with CoE building repeatable processes for ongoing measurement and improvement

Data Lineage & Ownership

- Support the documentation and publication of end-to-end data lineage for critical data assets and products, working with technical teams where automation is limited




- Maintain a clear and up-to-date map of data ownership within the domain — ensuring every significant asset has an accountable owner
- Escalate ownership gaps or lineage issues to the domain owner and CoE as needed

Domain Working Group & Governance Activities

- Organize and facilitate domain data governance working group sessions; setting agendas, tracking actions, and keeping stakeholders engaged and accountable
- Coordinate governance activities across the domain, balancing ongoing maintenance work with current initiatives aligned to annual governance goals
- Support the CoE in conducting maturity assessments (DCAM-aligned), providing domain-level evidence, artifacts, and input
- Act as the primary point of contact between your domain and the central Data Governance CoE translating CoE standards into domain-level practice
- Informally guide and support other data owners and contributors within the domain on governance expectations and tooling

Education, Experience and Skill-set Required

· Education from STEM area

· Bachelor’s Degree in Information Systems, Computer Science or in a related field or equivalent work experience and practical knowledge

· Minimum 8+ years of experience

· Knowledge and understanding in the area of data management and IT systems is a plus

· Highly motivated, results-oriented and a fast learner with excellent analytical and problem solving skills

· Previous experience in BI, analytics, data management or data engineering is a plus

· Understanding of data flows and basics of data modelling principles

· Fluent in written and spoken English

📌 Lead Analyst, Master Data Operations (India)
🏢 ERP Logic Israel, SAP Partner
📍 India