Senior Manager, Data Science (Hybrid)

Key Responsibilities

• Manage and mentor a team of data scientists, fostering a collaborative and enabling environment that encourages innovation and professional growth.
• Help shape the data science strategy in line with organizational goals, while establishing clear objectives and benchmarks.
• Collaborate with key stakeholders to improve existing analytical capabilities and identify opportunities for leveraging data to drive significant business results.
• Support the development and execution of advanced data science projects, ensuring timely delivery and the realization of objectives.
• Define and track success metrics such as model accuracy, business ROI, and time-to-insight to evaluate project impact.
• Communicate complex analytical insights and data-driven strategies to executive, technical, and non-technical audiences through persuasive presentations.
• Work with the analytics engineering, data engineering, and cloud operations teams to provide the necessary tools, data, and infrastructure for data science initiatives.
• Promote a culture of continuous learning and knowledge sharing within the data science team to keep up with the latest industry developments and technologies.
• Utilize expertise in Microsoft Azure, Databricks, and Gen AI to encourage innovation and maintain a competitive edge within the data science practice.
• Foster an inclusive team culture and support diverse perspectives in data science.

Required Skills & Qualifications

• Experience managing data science teams, with a proven track record of driving projects to successful completion.
• Strong understanding of data science methodologies, machine learning algorithms, and AI technologies.
• Practical experience with Microsoft Azure cloud services, Azure Databricks, and other data science and analytics platforms.
• Skill in identifying and executing on new opportunities to create value with data.
• Strong interpersonal skills with the ability to build and maintain relationships with key stakeholders across various departments.
• Excellent communication skills, capable of articulating complex technical concepts to both technical and non-technical audiences.
• Strategic thinker with outstanding problem-solving abilities and a creative approach to challenges.
• Familiarity with Gen AI, LLMs, MLOps, AutoML, and Responsible AI and their applications in driving business value.
• Proficiency in Python, SQL, Spark, MLflow, and other relevant tools and languages.

Desirable Skills

• Experience with big data technologies and architectures.
• Understanding of data governance and data security best practices.
• Certification in Microsoft Azure or other relevant cloud technologies.
• Able to cultivate a culture of innovation and continuous improvement.
• Interest in mentoring and developing talent within the data science domain.

Preferred Experience

• Experience deploying models in production environments.
• Familiarity with CI/CD pipelines for ML.
• Experience working in regulated industries (e.g., healthcare, finance).