Assistant Vice President

Job Summary

Senior Project Manager (Analytics & Data Projects)

SQL and Python

Data Science and Data Engineering workflows

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.