Manager - Data Science and Engineering- AI/ML

2 months ago


Vienna, Virginia, United States Radiant Digital Full time

About Us:

Radiant Digital delivers technology consulting and business solutions for commercial and government clients.

Our flexible delivery model allows us to provide end-to-end solution delivery, single project execution, and, or strategic resources. CMMI Maturity Level III and ISO 9001 – 2015 certified.

Responsibilities

  • Provide thought leadership for the practice, both within the company and in client-facing engagements.
  • Work with the business development team as a Subject Matter Expert to identify, clarify, plan and win business opportunities with current and new clients.
  • Establish and disseminate processes and practices to ensure consistent delivery of high-quality solutions to our clients.
  • Maintain a strong command of current technology trends, including emerging paradigms, languages, and practices.
  • Work with product partners in delivery
  • Develop quality assurance and control policies and procedures.
  • Direct and monitor large/complex data science and engineering business programs. Develop and execute strategic plans for company and client programs and projects.
  • Report to senior management regularly and maintain effective and consistent communication and tracking of all assigned programs and projects.
  • Lead and coach a team of technical staff, working in a global delivery model.
  • Hire team members, plan, assign, and direct work.
  • Appraise team performance, address complaints and resolve problems.

Critical Competencies

  • Expertise in data management, data engineering, analytics, AI/ML.
  • Strong, broad technical skills with experience in a variety of technical roles.
  • Team leadership in onshore/offshore global delivery environment.
  • Excellent written and verbal communication skills.
  • Ability to build strong collaborative relationships with peers, client stakeholders and senior company leadership.
  • Strong command of cloud development and infrastructure practices.
  • Experience in Telecom is not required but is considered a big plus.

Requirements

  • Bachelor's degree or advanced degree in Computer Science or a related field of study.
  • 10+ years of large scale complex commercial data engineering / data science experience, 3+ years in management.

Travel

  • Estimated 25% travel, including local and out-of-state


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