Description

Key Responsibilities

• Lead end-to-end delivery of enterprise data, analytics, and AI programs from planning through execution and deployment.
• Partner with business stakeholders, product owners, architects, and engineering teams to define program objectives, priorities, and success metrics.
• Manage cross-functional teams across onsite and offshore locations, ensuring effective collaboration and delivery alignment.
• Develop and maintain program plans, schedules, milestones, resource allocation, and budget tracking.
• Drive governance processes, status reporting, risk management, issue resolution, and executive communications.
• Oversee Databricks-based data platform initiatives, ensuring scalability, reliability, and performance.
• Collaborate with technical leadership on data engineering, analytics, cloud, and AI/ML solution strategies.
• Identify and manage program risks, dependencies, and bottlenecks while implementing mitigation plans.
• Ensure adherence to organizational quality, compliance, security, and delivery standards.
• Facilitate Agile and hybrid delivery methodologies, promoting best practices and continuous improvement.
• Provide regular updates and insights to leadership regarding program health, key achievements, and strategic recommendations.
• Drive operational excellence and process improvements across program delivery functions.

Required Qualifications

• 12+ years of overall IT experience with significant experience in Program Management roles.
• Proven track record managing large-scale Data, Analytics, and AI programs.
• Strong experience with Databricks and modern data platform initiatives.
• Deep understanding of Data Engineering, Data Lakes, Data Warehousing, and cloud-based data architectures.
• Experience leading AI/ML initiatives from concept through deployment.
• Demonstrated success managing globally distributed teams and delivery models.
• Strong stakeholder management, communication, and executive presentation skills.
• Experience working in Agile, Scrum, and Hybrid delivery environments.
• Ability to manage multiple workstreams, priorities, and dependencies in a fast-paced environment.
• Strong problem-solving, leadership, and decision-making capabilities.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with data governance, data quality, and security frameworks.
• Experience working with enterprise analytics and reporting solutions.
• PMP, PgMP, Scrum Master, SAFe, or other relevant certifications are a plus

Key Skills

Education

Any Gradute