Job description

Business Lead Data Governance Office (Hybrid in South San Francisco, CA) Summary Reporting directly to the Director of Business Intelligence, the SAP Master Data Governance (MDG) Lead will provide business processes expertise to the end-to-end architecture, implementation, and operational strategy of our enterprise master data ecosystem. In this role, you will bridge technical execution, analytics strategy and business process—helping to implement the SAP MDG platform, creating data quality rules, and initially establishing a SAP Data Governance Office to ensure high data integrity, seamless reporting, and single-source-of-truth analytics across the organization. Key Responsibilities SAP MDG Build & Technical Architecture Participate and add expertise to the end-to-end implementation and configuration of SAP MDG domains (Business Partner, Customer/Vendor, Material, at a later time Financials). Design custom data models, UI floorplans (FPM), change request workflows (BRF+), and Data Replication Frameworks (DRF). Partner with BI and enterprise architecture teams to integrate MDG with SAP S/4HANA, analytics platforms, data warehouses, and downstream legacy systems. Rule Creation & Data Quality Management Define and enforce data validation rules, duplicate check algorithms, and business logic within the SAP MDG platform. Establish automated data profiling, continuous remediation processes, and data quality scoring across core master data domains. Define and monitor data governance KPIs, completion cycle times, and data health dashboards in alignment with reporting goals. Governance Office & Stewardship Leadership Build and formalize the Enterprise Data Governance Office, defining its charter, operating model, and cross-functional council. Establish enterprise data stewardship frameworks, defining clear roles (Data Owners, Stewards, Custodians) and approval matrices. Author data policies, standard operating procedures (SOPs), data dictionary standards, and data lineage documentation. Partner with the Director of Business Intelligence to align data governance frameworks with business reporting, analytics strategy, and regulatory compliance. Qualifications & Requirements Bachelor’s degree in Computer Science, Information Systems, Business Intelligence, or a related field. 8+ years Experience in SAP Data Management, with 4+ years leading full-lifecycle SAP MDG implementations. Proven track record in both direct and indirect management. Successful collaboration experience is a must. Proven track record of establishing and managing a Data Governance Office and operationalizing data stewardship models. Solid understanding of how master data governance directly impacts BI reporting, data warehousing, and enterprise analytics. About Twist Bioscience Twist Bioscience synthesizes genes from scratch, known as “writing” DNA. Just as children learn to both read and write, the next phase of development for the genomics revolution is the ability to write DNA. At Twist Bioscience, we work in service of people who are changing the world for the better. In fields such as health care, agriculture, industrial chemicals and data storage, our unique silicon-based DNA Synthesis Platform provides precision at a scale that is otherwise unavailable to our customers. Twist Bioscience Corporation is an Equal Opportunity Employer. Twist Bioscience Corporation provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic characteristics, or any other category protected by law. The base cash compensation for this California-based role is below. In addition to base salary, this role is eligible for bonus, equity, and a generous benefits package. Final compensation amounts are determined by multiple factors, including candidate skill, experience, expertise, and location and may vary from the amount listed above. Compensation may be different in other locations. San Francisco Bay Area Pay Range $130,678 — $192,178 USD

Requirements

Must-haves

Business Lead Data Governance Office (Hybrid in South San Francisco, CA)
SAP MDG Build & Technical Architecture
Participate and add expertise to the end-to-end implementation and configuration of SAP MDG domains (Business Partner, Customer/Vendor, Material, at a later time Financials).
Design custom data models, UI floorplans (FPM), change request workflows (BRF+), and Data Replication Frameworks (DRF).
Partner with BI and enterprise architecture teams to integrate MDG with SAP S/4HANA, analytics platforms, data warehouses, and downstream legacy systems.
Rule Creation & Data Quality Management
Define and enforce data validation rules, duplicate check algorithms, and business logic within the SAP MDG platform.
Establish automated data profiling, continuous remediation processes, and data quality scoring across core master data domains.
Define and monitor data governance KPIs, completion cycle times, and data health dashboards in alignment with reporting goals.
Governance Office & Stewardship Leadership
Build and formalize the Enterprise Data Governance Office, defining its charter, operating model, and cross-functional council.
Establish enterprise data stewardship frameworks, defining clear roles (Data Owners, Stewards, Custodians) and approval matrices.
Author data policies, standard operating procedures (SOPs), data dictionary standards, and data lineage documentation.
Partner with the Director of Business Intelligence to align data governance frameworks with business reporting, analytics strategy, and regulatory compliance.
Qualifications & Requirements
Bachelor’s degree in Computer Science, Information Systems, Business Intelligence, or a related field.
8+ years Experience in SAP Data Management, with 4+ years leading full-lifecycle SAP MDG implementations.
Proven track record in both direct and indirect management.
Successful collaboration experience is a must.
Proven track record of establishing and managing a Data Governance Office and operationalizing data stewardship models.
Solid understanding of how master data governance directly impacts BI reporting, data warehousing, and enterprise analytics.

Nice-to-haves

None flagged.

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