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.

Benefits:

• Company events
• Life insurance
• Opportunities for promotion
• Promotion to permanent employee

Application Question(s):

• Do you have a progressive experience in data management, governance, or analytics leadership roles?
• Do you have experience n leading multi-disciplinary data teams and enterprise initiatives?
• What is your expected salary range?

Education:

• Bachelor's (Required)

Experience:

• Data Management: 10 years (Required)

Work Location: Hybrid remote in Mandaluyong