Role Overview:

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:

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.

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.

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.

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.

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:

- 13-21 years of overall experience, with at least 8-10 years in data science roles and 5+ years in project/program management.

- Proven expertise in advanced analytics, 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.

- Experience in deploying data science solutions in cloud environments (AWS, Azure, GCP).

Preferred Skills:

- 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.