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.