Senior Manager, Data Science

We are seeking a highly motivated Senior Manager - Data Science to collaborate with cross-functional teams to deliver impactful data-driven solutions. This role requires a strong blend of technical expertise, leadership, and stakeholder management skills. The ideal candidate will have a passion for solving business challenges, exceptional communication abilities, and the ability to drive data science initiatives in a collaborative and dynamic environment.

Key Responsibilities:

Stakeholder Engagement

• Collaborate with data science leads across Asia Pacific to understand their business requirements, translate them into actionable data science projects, and deliver solutions that address business needs.
• Communicate complex data science concepts and insights effectively to non-technical stakeholders, ensuring alignment on goals and outcomes.

Project Resource Management

• Allocate resources efficiently across multiple projects and prioritize initiatives based on business impact.
• Manage multiple medium-to-large data science projects simultaneously alongside project partners, adhering to timelines and budget constraints and troubleshooting issues as they arise

Technical Expertise Collaboration

• Technical Consultancy: Offer expert guidance on AI tools, machine learning frameworks, and best practices for data science projects across diverse industries
• Collaborate closely with the data engineering team to ensure seamless integration of data pipelines, scalable infrastructure, and efficient workflows.

Innovation Best Practices

• Drive the adoption of best practices in data science methodologies, coding standards, and model deployment strategies.
• Stay updated with industry trends and emerging technologies to ensure the team remains ahead of the curve.
• Strategic Roadmapping: Help clients develop long-term AI and data science roadmaps, advising on scalability, feasibility, and resource requirements for future initiatives.

Thought Leadership

• Stay at the forefront of AI advancements and advocate for innovative solutions that drive value for clients

This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.

Basic Qualifications:

• 9+ years of relevant work experience with a Bachelor s Degree or at least 5 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience.

Preferred Qualifications:

• 9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD
• 9 years of experience in Data Science roles, with significant experience in a data science consulting capacity. (with minimum 5 years of experience in AI Data Science role)
• Accredited master s degree in computer science, statistics, econometrics , engineering, or related fields
• Experience in retail banking, payments, financial services, and/or technology industries
• Proven hands-on experience in advanced analytics and statistical modelling including linear regression, logistic regression, clustering methods (e.g. K-means), principal components analysis, classification methods (decision trees / gradient boosting machines), Monte Carlo analysis, natural language processing, and other techniques
• Experience designing, building, and deploying machine learning models and algorithms end-to-end at scale
• Proficient in AI and machine learning ecosystems such as TensorFlow, Keras, Scikit-learn, and Pytorch, Python, SQL, NoSQL, and familiarity with cloud platforms (AWS, Azure, GCP).
• Experience working with large volumes of data (Big Data): extracting, cleaning and manipulating large datasets using standard tools such as Python/PySpark, R, SQL, Hadoop/Hive, Presto, SAS, etc.
• Excellent project management, organizational and presentational skills, Excellent communication skills -verbal written.
• Excellent communication and interpersonal skills to engage with stakeholders at all levels.
• Strong project management skills, including the ability to manage multiple projects simultaneously.
• Strategic thinker with the ability to drive innovation and continuous improvement.