Lead Data Governance Architect

Our Global Diabetes Capability Center in Pune is expanding to serve more people living with diabetes globally. Our state-of-the-art facility is dedicated to transforming diabetes management through innovative solutions and technologies that reduce the burden of living with diabetes.

Medtronic is hiring a Senior Data Governance Engineer. As a Senior engineer, you will be a key member of our Data Governance team, defining scope, assessing current data governance capabilities, building roadmaps to mature data governance capabilities.

This role offers a dynamic opportunity to join Medtronic's Diabetes business. Medtronic has announced its intention to separate the Diabetes division to promote future growth and innovation within the business and reallocate investments and resources across Medtronic, subject to applicable information and consultation requirements. While you will start your employment with Medtronic, upon establishment of SpinCo or the transition of the Diabetes business to another company, your employment may transfer to either SpinCo or the other company, at Medtronic's discretion and subject to any applicable information and consultation requirements in your jurisdiction.

Responsibilities may include the following and other duties may be assigned :

• Data Governance Strategy Development - responsible for the strategic development, architectural definition, and enterprise wide data governance and data management initiatives supporting the delivery of data as a service.
• Provide Data Governance and Data Management advisory expertise
• Responsible for the identification and evaluation of metadata platform alternatives, the development of the logical metadata framework architecture, and the definition and implementation of metadata maintenance processes.
• Defining Data Governance operating models, roles, and responsibilities in collaboration with Medtronic requirements.
• Responsible for the assessment and selection of Data Management tools landscape including : data profiling, data quality, metadata, MDM, rules engines, and pattern matching
• Refine and develop the data-centric approach and methodologies which may include areas such as : data strategy, data governance, data lineage, analytics, business intelligence, data architecture, data quality, master data management and data integration and delivery
• Assess current state capabilities, identify gaps versus leading practices, and recommend future state data requirements.
• Identify opportunities for new workflows, third party ‘glossary / metadata’ tools, database architectures, and third party pre-existing data models.
• Work closely with business and technology stakeholders to assist in understanding and documenting data requirements, lineage, and partnering with IT data integration and data warehouse teams to ensure requirements are effectively executed.
• Help define data modeling naming standards, abbreviations, guidelines, and best practices
• Enhance or design data model review processes based on business requirements.

Required Knowledge and Experience :