Job Description

We are seeking an experienced Data & Analytics Project Manager to lead the end-to-end execution of data and analytics projects. This role requires expertise in data integration, analytics, and cloud platforms (AWS, Azure), along with strong project management skills to ensure seamless delivery. The ideal candidate will collaborate with cross-functional teams, drive innovation, and optimize data-driven decision-making. Our projects deploy a range of technologies including internal custom-built solutions, packaged software, ERP solutions, data warehouses, Software as a Service, cloud-based solutions, and BI tools.




The Enabling Units IT Senior Project Manager leads a project team from initiation to close, to deliver effective solutions that meet approved customer and business needs. Project Managers are accountable for determining and delivering solutions to approved budget and schedule commitments whilst meeting required quality and compliance standards.




Overview:


Lead end-to-end project management for Data Engineering & Analytics initiatives, ensuring timely and successful delivery. Understand and manage data pipeline development, DWH design, and BI reporting needs at a high level. Collaborate with technical teams on Snowflake-based solutions, ETL pipelines, and data modelling concepts. Oversee project timelines, risks, and dependencies using Agile/Scrum methodologies. Facilitate communication between stakeholders, ensuring alignment on Data Engineering, Data Analytics, and Power BI initiatives. Work with DevOps and engineering teams to streamline CI/CD pipelines and deployment processes. Support metadata management and data mesh concepts, ensuring an efficient data ecosystem. Work closely with Data Engineers, BI Analysts, and Business Teams to define project scope, objectives, and success criteria. Ensure data governance, security, and compliance best practices are followed.




Key Responsibilities:


Project & Delivery Management: Oversee the full lifecycle of data and analytics projects, ensuring scope, quality, and timelines are met. Stakeholder Collaboration Act as the primary liaison with customers, architects, and internal teams to align on execution strategies. Data Integration & Analytics Oversight: Manage ETL pipelines, data warehousing, visualization tools (Tableau, Power BI), and cloud-based big data solutions. Risk & Issue Management: Identify potential risks, scope changes, and mitigation strategies to ensure smooth project execution. Leadership & Communication: Guide workstream leads, support PMO updates, and maintain transparent communication with all stakeholders. Continuous Improvement: Drive innovation and process enhancements in data engineering, BI, and analytics workflows.




Required Skills & Experience:


8 plus years of experience leading data and analytics projects. Strong expertise in data integration tools, ETL processes, and big data technologies. Hands on experience with cloud platforms and visualization tools. Proven ability to mentor teams, manage stakeholders, and drive project success. Excellent communication skills, with the ability to engage both business and IT executives. PMP, Agile, or Data Analytics certifications preferred.

About Virtusa

Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth -- one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.



Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.



Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.