Associate Director - RNA - Data Engineer

WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.

Job Description:

• Own and drive large-scale data engineering programs end-to-end, from requirements to delivery.
• Engage with internal and external stakeholders, including client technology and business teams, to define program goals and ensure alignment with business objectives.
• Architect scalable, robust, and secure data solutions leveraging modern data platforms (cloud, on-prem, hybrid).Lead cross-functional teams comprising data engineers, architects, analysts, and project managers.
• Ensure adherence to best practices in data architecture, ETL/ELT development, data quality, and data governance.
• Oversee budgeting, resource planning, delivery timelines, and program KPIs.
• Proactively identify risks, dependencies, and blockers; provide timely resolutions
• Drive continuous improvement through innovation, automation, and adoption of modern tech stacks.
• Act as a trusted advisor to clients, translating business needs into actionable technical solutions.

Must Have:

• 12+ years of experience in Data Engineering, with at least 3–5 years in program or delivery leadership roles.
• Certified expertise in cloud data platforms (e.g., AWS Redshift, Azure Data Lake, GCP BigQuery, Snowflake).
• Hands-on experience with ETL/ELT tools, data pipelines, and data warehousing (e.g., Apache Airflow, DBT, Informatica, Talend).
• Proficiency in data modeling, SQL, and programming languages such as Python or Scala.
• Deep understanding of data architecture patterns, including batch and streaming pipelines.
• Proven track record of managing multi-million-dollar programs with global delivery teams.
• Strong program/project management skills – Agile, Scrum, or PMP certification is a plus.
• Exceptional client-facing communication and stakeholder management skills.
• Experience in analytics platforms or tools (e.g., Power BI, Tableau, Looker).
• Experience in managing offshore/onshore teams
• Prior consulting experience with Fortune 500 clients.
• Familiarity with DevOps and CI/CD practices in the data environment

Master’s or Ph.D. in Computer Science, or a related field12+ years of hands-on experience