Data Management Lead - Hybrid Setup

The Data Management Lead is responsible for driving the strategic direction, governance, and operational excellence of the organization's data ecosystem. This role leads cross-functional data teams Data Engineers, BI Engineers, and Data Architects—to deliver scalable, secure, and high-quality data platforms that support business intelligence, innovation, and regulatory compliance. The Data Management Lead ensures alignment between data capabilities and enterprise goals while promoting a culture of data stewardship, literacy, and accountability.

• Leadership and Team Management
• Manage and mentor teams of Data Engineers, BI Engineers, Data Architects, and Data Stewards.
• Foster a collaborative, high-performance data organization.
• Align resource planning, career development, and technical training with organizational needs.
• Facilitate cross-functional collaboration with IT, business units, analytics, and executive leadership.

• Data Strategy and Governance
• Develop and implement enterprise-wide data management practices, tactics, and standards.
• Establish and enforce data governance frameworks to ensure implementation of its pillars.
• Champion data as a strategic asset and lead data-driven culture initiatives.
• Oversee roadmap for data platform modernization, self-service analytics, and innovation.

• Data Operations Oversight
• Provide architectural oversight across data lakes, warehouses, and integration layers.
• Ensure engineering teams follow scalable, secure, and sustainable data practices.
• Support adoption of modern data stack, DevOps/CI-CD for data, and cloud-native platforms.
• Ensure data models, schemas, and structures are aligned with business and technical requirements.
• Monitor and ensure compliance with relevant data regulations and industry standards (e.g., GDPR, HIPAA).

• Stakeholder Collaboration
• Collaborate with business stakeholders to define data requirements and needs.
• Align data initiatives with broader business strategic and operational objectives.
• Collaborate with risk, legal, and compliance functions to embed controls in data systems.
• Promote enterprise data literacy across departments.

• Requirements:
• Master’s degree in MIS, MIT, or a related field.
• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field
• 10+ years of progressive experience in data management, governance, or analytics leadership roles.
• 4+ years in leading multi-disciplinary data teams and enterprise initiatives.
• Proven track record of building and executing enterprise data strategies.
• Deep understanding of data governance, metadata, data quality, and regulatory compliance.
• Experience overseeing data architecture, data engineering, and BI/reporting functions.
• Strong knowledge of cloud data ecosystems (AWS, GCP, Azure) and modern data platforms.
• Exceptional communication and stakeholder engagement skills.
• Familiarity with data cataloging, MDM, RDM and lineage tools (e.g., Collibra, Alation, Apache Atlas).
• Experience managing budgets, vendor relationships, and enterprise data programs.

• Preferred
• Doctoral degree is a plus in a data-related or quantitative discipline.
• Certifications such as DAMA CDMP, CIMP, or cloud-specific data leadership credentials.
• Experience with data monetization, knowledge graphs, or enterprise AI enablement.
• Exposure to organizational change management in data transformation initiatives.