Delivery Manager

EXL•New Hampshire, NH
•$100,000 - $125,000

About The Position

The Delivery Manager oversees end-to-end delivery of data platform projects, including solutions using Generative AI and modern data engineering architectures. The role coordinates Data Engineers, Machine Learning Engineers, Architects, platform specialists, Business Data Analysts, and business stakeholders to deliver analytical applications and data solutions aligned with business goals. The position provides technical leadership and mentorship to data engineering teams, guides solution design and project delivery, and manages release planning, change management, stakeholder engagement, and Agile practices. It also involves designing, deploying, and integrating AI/ML solutions and building scalable data engineering frameworks and foundational services.

Requirements

  • Proven experience building scalable data engineering frameworks and foundational services for enterprise-wide analytics initiatives.
  • Hands-on expertise in Snowflake, Spark, and AWS Glue.
  • Knowledge of event-driven architectures and streaming data solutions.
  • Strong leadership experience managing teams and delivering complex projects in Agile environments, including leading teams of more than 20 members.
  • Proficiency integrating Generative AI solutions into existing platforms and workflows.
  • Excellent communication and stakeholder management skills for collaboration across diverse teams.
  • Bachelor's degree in engineering or a related field.

Responsibilities

  • Oversee and drive end-to-end delivery of projects focused on analytical applications and data solutions.
  • Provide technical leadership and mentorship to data engineering teams, guiding them on complex challenges and best practices.
  • Collaborate with business and technical stakeholders to gather requirements, design solutions, and manage project deliverables.
  • Use Generative AI frameworks such as OpenAI, Hugging Face, or Google Vertex AI to design, deploy, and integrate AI/ML solutions.
  • Manage collaboration with Business Data Analysts to align data engineering work with business goals.
  • Own release planning, change management, and stakeholder engagement.
  • Ensure adherence to Agile practices, including facilitating sprint planning and retrospectives and managing delivery timelines.

Benefits

  • Benefits information is available at the company careers and benefits website.
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