DATA MANAGEMENT LEAD

Reporting to the Director, IT Applications and PMO, This Data Management Lead, combines leadership in data governance, management, and advanced analytics. The Data Management Lead will architect and oversee enterprise-wide data policies, ensure data quality and lifecycle integrity, and lead the development of business intelligence and machine learning solutions. The role bridges technical and business domains to enable data-driven decision-making, regulatory compliance, and innovation.

Governance & Compliance

• Develop and implement a scalable data governance framework.
• Define roles, responsibilities, and decision rights for data ownership and stewardship.
• Create and help enforce data policies, standards, and classification protocols.
• Ensure compliance with all applicable data privacy guidelines and standards

Data Management & Architecture

• Maintain metadata, master data, and data lifecycle management.
• Monitor and improve data quality across platforms.
• Lead data integration, enrichment, and cleanup initiatives.
• Collaborate with IT and business units to align data architecture with strategic goals.

Data Science & Analytics

• Analyze complex datasets to uncover trends, patterns, and actionable insights.
• Design and develop BI solutions using NetSuite Analytics Warehouse (NSAW).
• Build predictive models and machine learning algorithms to support business optimization.
• Perform exploratory data analysis and statistical modeling.

Collaboration & Enablement

• Partner with cross-functional teams to embed governance and analytics into workflows.
• Help lead governance councils and data science working groups.
• Translate business requirements into technical solutions and analytical tasks.

Change Management & Communication

• Promote data literacy and governance awareness across the organization.
• Present findings and recommendations to technical and non-technical stakeholders.
• Develop training materials and lead workshops on data best practices

Education

• Bachelor's or Master's degree in Data Science, Information Systems, Computer Science, or related field.
• 5+ years of experience in data governance, data management, and data science.
• Proficiency in SQL, Python, R, and BI tools (e.g., Tableau, Power BI).
• Experience with cloud platforms (AWS, Azure) and data warehousing.
• Strong understanding of data privacy, compliance, and lifecycle management.
• Excellent communication, leadership, and stakeholder engagement skills.

Preferred Qualifications

• Experience in the energy sector or regulated industries.
• Familiarity with Oracle Autonomous Data Warehouse, NSAW, and Salesforce.
• Knowledge of machine learning, NLP, and AI readiness strategies.
• Experience with ETL pipelines, API integration, and data modeling.

Benefits

• Competitive salary and performance bonuses
• Comprehensive health and wellness coverage
• Retirement savings plan
• Flexible work arrangements
• Professional development and certification support
• Inclusive and innovative work culture