AVP- Data Management

The AVP - Data Management (IT) will be responsible for leading the organizations data strategy, ensuring data integrity, governance, and analytics to drive informed business decisions. This role requires a deep understanding of data management best practices, analytical tools, and the ability to work cross-functionally to enhance business performance through data-driven insights.

Key Responsibilities:

Strategic Data Leadership:

• Develop and implement a comprehensive data strategy that aligns with organizational objectives.
• Drive data-driven decision-making by integrating analytics into business processes.

Data Governance & Compliance:

• Establish and enforce data governance policies to ensure data accuracy, integrity, and security.
• Ensure compliance with regulatory requirements and industry best practices.

Analytics & Business Intelligence:

• Design and deploy analytical solutions to enhance operational efficiency and uncover new business opportunities.
• Develop and maintain dashboards, reports, and predictive models to support key business functions.

Collaboration & Stakeholder Engagement:

• Work closely with business leaders to understand their data needs and provide actionable insights.
• Partner with IT teams to optimize data infrastructure and implement advanced analytics capabilities.

Technology Evaluation & Innovation:

• Stay updated with emerging data analytics trends and recommend tools and technologies to enhance capabilities.
• Evaluate and implement modern data management platforms to improve efficiency and scalability.

Performance Measurement & Reporting:

• Define and track key performance indicators (KPIs) to assess the success of data initiatives.
• Present analytical findings to executive leadership, showcasing the impact of data-driven strategies.

Budget & Resource Management:

• Oversee budget allocation for data management initiatives, ensuring optimal resource utilization.
• Identify cost-effective solutions to enhance data capabilities within the organization.

Desired Candidate Profile:

• Proven experience in developing and executing data analytics strategies that drive business value.
• Strong knowledge of data analytics tools and technologies (e.g., Tableau, Power BI, SQL, Python, R) and data management platforms (e.g., Hadoop, Snowflake).
• Experience with data governance frameworks, compliance regulations, and industry best practices.
• Excellent analytical and problem-solving skills with the ability to interpret complex datasets and derive actionable insights.
• Strong communication and interpersonal skills, capable of engaging with both technical and non-technical stakeholders.
• Demonstrated ability to lead cross-functional teams and drive collaboration between IT and business units.