4604091-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.                                                  About the TeamEXL is the indispensable partner for leading businesses in data-led industries such as insurance, banking and financial services, healthcare, retail and logistics. We bring a unique combination of data, advanced analytics, digital technology and industry expertise to help our clients turn data into insights, streamline operations, improve customer experience, and transform their business. Our partnerships with clients are built on a foundation of collaboration – and we’ve been chosen as a partner by nine of the top ten leading US insurance companies, nine of the top 20 global banks, and six of the top ten US health care payers. We function as one team to make your goals our goals, whether that’s unlocking the value of generative AI or embedding analytics into workflows that reduce risk or power your growth. Clients choose EXL as their transformation partner for many reasons. Our geographic diversity make talent all over the world instantly accessible. Digital accelerators enable unmatched speed-to-value, letting you realize results fast. It’s our people that truly set us apart, though, including the 1,500 data scientists we have dedicated to our generative AI practice. And our more than twenty years of experience in delivering business services, garnering stellar client references, and maintaining a solid balance sheet are reassuring to our C-suite clients. Find out for yourself why clients, employees, and analysts think we’re some of the best in the business. Contact us to see how we can help you achieve your goals.