Planning, execution, and successful delivery of data engineering projects

• Project initiation and planning: Define project scope, objectives, timelines, budget, resources, and risks.
• Resource management: Allocate, manage, and track the performance of the data engineering team.
• Communication and collaboration: Facilitate communication between stakeholders, including data engineers, data scientists, business analysts, and executives.
• Risk management: Identify, assess, and mitigate project risks proactively.
• Issue resolution: Address project challenges and issues promptly and effectively.
• Monitoring and reporting: Track project progress, measure performance against targets, and report findings to stakeholders regularly.

Key Responsibilities

Program Leadership:

• Develop and execute a comprehensive Data Governance strategy aligned with the organization’s objectives and regulatory requirements.
• Act as a liaison between senior leadership, stakeholders, and cross-functional teams to ensure program alignment and success.
• Drive organizational change to establish a culture of data governance and stewardship.
• Great focus on program risk identification and timely reporting and devising action to address it.
• Cost benefit analysis and justification to investments.

Planning and project management:

• Project planning, scheduling & tracking
• Work prioritization and resource planning
• Risk identification and reporting
• Team planning and management
• Status reporting

Governance Framework Implementation:

• Establish and manage a robust Data Governance framework, including policies, standards, roles, and responsibilities.
• Implement data cataloging, metadata management, and data lineage tools to enhance data visibility and accessibility.
• Oversee the creation of workflows and processes to ensure adherence to governance policies.

Stakeholder Engagement:

• Reports to CXO level executives with program status update, risk management and outcomes.
• Collaborate with business units, IT teams, and compliance officers to identify governance priorities and resolve data-related challenges.
• Facilitate the Data Governance Council meetings and ensure effective decision-making.
• Serve as a point of contact for internal and external auditors regarding data governance-related queries.

Compliance and Risk Management:

• Ensure adherence to industry regulations and banking-specific compliance requirements.
• Identify and mitigate risks related to data usage, sharing, and security.

Monitoring and Reporting:

• Develop key performance indicators (KPIs) and metrics to measure the effectiveness of the Data Governance Program.
• Provide regular updates to CXO level executive leadership on program status, risks, and outcomes.
• Prepare and present audit and compliance reports as required.

Team Leadership and Mentorship:

• Lead cross-functional teams, including data stewards, analysts, and governance professionals.
• Provide training and mentoring to promote awareness and understanding of data governance practices.

Technical Expertise:

• Understanding of data engineering principles and practices: Good understanding of data pipelines, data storage solutions, data quality concepts, and data security is crucial.
• Familiarity with data engineering tools and technologies: This may include knowledge of ETL/ELT tools, Informatica IDMC, MDM, data warehousing solutions, Collabra data quality, cloud platforms (AWS, Azure, GCP), and data governance frameworks

Qualifications

• Bachelor’s degree in computer science, Data Management, Business Administration, or a related field; MBA or equivalent experience preferred.