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Data and Analytics Leadership

Senior Manager, Data Science and Engineering

Build and lead a high-performing team of data scientists and engineers delivering production-grade predictive models, ML pipelines, and data products for a global enterprise. Collaborate across US and Europe-based stakeholders.

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About This Role

A senior leadership role for an experienced data professional who can build a team, set technical direction, and own delivery of complex data science and engineering programmes. You will operate at the intersection of technical depth and business stakeholder engagement, managing sprint processes, enforcing best practices, and staying ahead of emerging technologies.

What You Will Do

  • Screen, interview, onboard, and manage a high-performing team of data scientists and data engineers
  • Establish, prioritise, and manage the team sprint process using agile methodology, ensuring work connects to desired business outcomes
  • Ensure the team follows technical best practices in building, maintaining, and enhancing scalable predictive models including code version control, pipeline management, deployment, and documentation
  • Stay connected to internal and external emerging technologies, proactively recommend high-impact applications
  • Establish close collaboration with local and global GPS and IT functional data science and data engineering experts
  • Collaborate with USA and Europe-based product development team members and stakeholders
  • Apply techniques including machine learning, data science, computer vision, AI, statistics, and applied mathematics as appropriate
  • Work hours that provide sufficient overlap with standard East Coast US business hours

What You Need to Succeed

  • Bachelor's or Master's degree in an analytical, engineering, or scientific discipline
  • 6+ years working in data and analytics including direct development experience
  • Strong project management skills ensuring timely delivery of data science programmes
  • Excellent communication and interpersonal skills for both technical and non-technical stakeholders at all levels
  • Excellent leadership and management skills, drive collaboration and deliver results in dynamic environments
  • Solid understanding of digital analytics tools and platforms
  • Experience with large datasets, data visualisation, statistical software (R, Python, advanced SQL, Tableau)

What Will Give You an Edge

  • Experience managing or leading teams, significant advantage
  • Experience in agile environments with JIRA or equivalent tools
  • Experience deploying predictive models, cloud-based ELT pipelines, and simulation/optimisation models
  • Familiarity with Domino, AWS, GitHub, dbt platforms

What Qfyre Offers

  • Senior leadership mandate with team-building ownership and technical authority
  • High-visibility global role with cross-continental stakeholder engagement
  • Competitive senior leadership compensation package
  • Hybrid working with structured collaboration model

Skills and Technologies

Data ScienceMLPythonLeadershipAnalyticsAWS
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FAQ

Questions About This Role

Common questions from candidates and applicants.

What does the application process look like for the Senior Manager, Data Science and Engineering role?+

Submit your application via the form on this page. A Qfyre domain specialist will review your profile, not an automated keyword filter, and will be in touch within two business days if there is a strong fit. We may arrange a brief introductory call before presenting your profile to the client.

Is this Senior Manager, Data Science and Engineering role a permanent position or contract?+

This is a Full Time position based in Bengaluru. The working mode is Hybrid. Specific contract terms and benefits are discussed during the briefing process once your profile has been reviewed.

What experience level is required for the Senior Manager, Data Science and Engineering role?+

This role requires 8+ years of relevant experience. The specific technical requirements and domain expectations are outlined in the full job description above. If your experience is slightly outside the stated range but you have strong relevant capability, we encourage you to apply, we assess profiles holistically, not against a checklist.

Does Qfyre assist with relocation for this role?+

Relocation support varies by client and mandate. Mention your relocation preferences in the application form and our team will clarify the client's position during the initial briefing. Most of our GCC and enterprise clients have structured relocation support programmes for senior hires.