Assistant Vice President

Job Summary:

We are seeking a Senior Project Manager (Analytics & Data Projects) with a strong background in data analytics and technical project delivery. The ideal candidate has hands-on knowledge of SQL and Python, with exposure to Data Science and Data Engineering workflows, and proven experience in leading cross-functional teams. This role requires a strategic mindset, technical acumen, and excellent leadership to manage complex analytics initiatives from planning through execution.

Key Responsibilities:

Project & Delivery Management:

• Lead end-to-end delivery of data and analytics projects, including scoping, planning, execution, risk management, and stakeholder communication.

• Define project objectives, scope, timelines, and resource needs in collaboration with business and technical teams.

• Drive Agile/Scrum or hybrid project methodologies, ensuring deliverables are on time and within scope.

• Manage cross-functional teams including Data Engineers, Data Analysts, and Data Scientists.

Technical Understanding & Oversight:

• Guide the development of data pipelines, analytics dashboards, and machine learning solutions.

• Understand and oversee usage of SQL and Python in analytics workflows (e.g., data wrangling, automation, modeling).

• Liaise with technical leads to ensure data quality, security, and performance standards are met.

• Translate complex technical requirements into clear, actionable tasks for team members.

Team & Stakeholder Management:

• Lead and mentor a team of analysts and engineers; perform capacity planning and performance reviews.

• Serve as the primary liaison between business stakeholders and technical teams.

• Drive alignment between analytics initiatives and business goals.

• Prepare and deliver executive-level reporting on project status, risks, and milestones.

Required Skills and Experience:

• 8+ years of overall experience with at least 3–5 years in project/program management, especially in data analytics or technology projects.

• Proven expertise in managing technical teams and large-scale data projects.

• Solid hands-on understanding of SQL and Python in the context of data analysis and ETL workflows.

• Exposure to Data Science tools and frameworks (e.g., scikit-learn, pandas, Jupyter) and Data Engineering concepts (e.g., data lakes, ETL, pipelines).

• Experience with tools such as JIRA, Azure DevOps, Trello, Confluence, or similar for project tracking.

• Strong knowledge of Agile, Scrum, and/or traditional project management methodologies.

• Excellent communication, leadership, and stakeholder management skills.

Preferred Qualifications:

• PMP, Prince2, or Agile/Scrum certification.

• Familiarity with cloud platforms like AWS, Azure, or GCP.

• Experience with BI tools (Power BI, Tableau) and version control (Git).

• Background in computer science, data analytics, or related technical discipline.