Director Data Science (TMT)

Job Summary

We are seeking a dynamic and results-driven Director to lead Data Science (DS) delivery projects, combining deep expertise in data science methodologies with strong project management skills. The ideal candidate will have a strong track record of driving data-driven decision-making, managing end-to-end delivery of complex projects, and leading teams of data scientists and analysts in achieving business outcomes.

Key Responsibilities

1. Data Science Leadership:

• Drive end-to-end execution of data science projects, from conceptualization to deployment.
• Apply advanced analytics, machine learning, and AI techniques to solve complex business problems.
• Ensure high-quality and scalable solutions by applying best practices in model development and validation.

1. Project Management:

• Oversee project delivery timelines, budgets, and quality metrics.
• Act as the bridge between business stakeholders and technical teams, translating business needs into technical requirements.
• Identify and mitigate risks in project execution while maintaining alignment with strategic objectives.

1. Team Leadership:

• Lead and mentor a team of data scientists, data engineers, and analysts.
• Foster a culture of innovation, collaboration, and continuous learning within the team.
• Ensure the team is equipped with the right tools, techniques, and training to meet evolving business needs.

1. Stakeholder Engagement:

• Collaborate with senior leadership to identify opportunities where data science can create business value.
• Communicate complex technical solutions and insights in a clear, actionable manner to both technical and non-technical audiences.
• Build and maintain strong relationships with internal and external stakeholders.

1. Strategic Vision:

• Define and implement the data science strategy in alignment with organizational goals.
• Stay updated with emerging trends and technologies in data science, ensuring their adoption within the team where applicable.
• Drive thought leadership initiatives and contribute to organizational data maturity.

Required Qualifications

• 15–19 years of overall experience, with at least 8-10 years in data science roles and 5+ years in project/program management.
• Proven expertise in core Data Science, machine learning, deep learning, and AI.
• Hands-on experience with programming languages such as Python, R, or Scala, and frameworks like TensorFlow, PyTorch, or scikit-learn.
• Strong experience in managing data science delivery projects across multiple domains.
• Proficiency in project management methodologies (Agile, Scrum, or Waterfall) and tools like Jira, MS Project, or Asana.
• Excellent communication, problem-solving, and stakeholder management skills.
• Advanced degree in Computer Science, Data Science, Mathematics, Statistics, or a related field; MBA or PMP certification is a plus.

Preferred Skills

• Experience in deploying data science solutions in cloud environments (AWS, Azure, GCP).
• Familiarity with big data technologies like Hadoop, Spark, and Hive.
• Experience with visualization tools like Tableau, Power BI, or similar.
• Strong business acumen with the ability to align data initiatives to strategic objectives.

Why Join Us?

• Opportunity to work at the forefront of data science innovation.
• Lead impactful projects in a collaborative and diverse work environment.
• Access to cutting-edge tools, technologies, and a wealth of data resources.