Data Management Lead

The Data Management Lead oversees clinical data management activities across clinical trials, ensuring high-quality, accurate, and compliant clinical data from study start-up through database lock. The role leads data management strategy, EDC/database development, data cleaning and validation, query management, data integrations, and cross-functional/CRO collaboration while ensuring adherence to GCP, ICH, CDISC, CDASH, and SDTM standards.

• 12+ years of experience in Data Management, Data Governance, or Information Management.
• Strong Oil & Gas, Refinery, Petrochemical, or Energy sector experience.
• Expertise in global data management standards, master data governance, and data quality frameworks.
• Hands-on experience with SQL, Power BI, MS Access, data analytics, and reporting solutions.
• Strong customer management and stakeholder engagement skills.
• Experience managing global teams and large-scale project data.
• Excellent leadership, communication, and problem-solving abilities.

Preferred Qualifications:

• Bachelor's degree in Engineering or a related discipline.
• Certifications in Data Management, Data Science, Power BI, SQL, MS Access, PMP, Azure, or Data Governance are advantageous.

Core Competencies:

• Customer Management
• Stakeholder Engagement
• Data Management
• Information Governance
• Team Leadership
• SQL
• MS Access
• Power BI
• Process Improvement
• Global Project Delivery
• Oil & Gas Domain Expertise

Qualification:

• BE/B.Tech in Mechanical Engineering

Key Skills:

• Data Management
• AVEVA
• Lead end-to-end data management activities across engineering, operations, and capital projects.
• Establish and enforce data governance, quality, validation, and master data management processes.
• Ensure compliance with global data standards, client requirements, and organizational policies.
• Act as the primary interface for customers, contractors, and key stakeholders on data-related initiatives.
• Manage data collection, integration, cleansing, migration, and handover activities.
• Develop and maintain KPI dashboards and analytical reports using Power BI and SQL.
• Drive data quality improvement programs and monitor governance metrics.
• Lead and mentor data analysts, data controllers, and project data teams.
• Support digital transformation, automation, and business intelligence initiatives.
• Collaborate with cross-functional teams to ensure reliable, accurate, and timely data delivery.