Manager

Job Description

Key responsibilities:

• Project Leadership & Execution
  • Own the end-to-end execution of data analytics and architecture projects, ensuring alignment with business objectives.
  • Oversee 3-4 Data Analysts working on data assessment, gap analysis, and data architecture, ensuring timely delivery and quality outcomes.
  • Develop and maintain project roadmaps, timelines, and deliverables for analytics initiatives.
  • Identify and mitigate risks, dependencies, and bottlenecks to ensure smooth project execution
• Data Analysis & Process Optimization
  • Work closely with the Data Analyst to evaluate data completeness, consistency, and accuracy across multiple datasets.
  • Lead gap analysis efforts to identify discrepancies and opportunities for data integration and quality improvement.
  • Work along with the data analyst on data mapping exercises, and addressing adhoc requests in a timely manner
  • Oversee and work on enhancements to the current process, focussing on automation
• Stakeholder Management & Collaboration
  • Serve as the primary liaison between technical teams, business units, and leadership, ensuring clear communication and alignment.
  • Translate business requirements into technical roadmaps for data-driven initiatives.
  • Facilitate cross-functional collaboration between data engineers, analysts, business stakeholders, and IT teams.
  • Present insights, progress, and impact of data projects to senior leadership and stakeholders.

Skills required:

• Project Management experience
• Strong communication & Stakeholder management skills
• Tools: SQL, Excel, Airflow, AWS, Monte Carlo, Python (good to have)
• Problem-Solving Mindset: Ability to identify data gaps, optimize workflows, and drive process improvements
• Data & Analytics Knowledge: Understanding of data assessment, gap analysis, data architecture, and data governance.