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Senior Manager - Finance Data Science

March 5, 2026

Job Description Summary

Job Description

Segment: Corporate Functions

Location: GA, Singapore

Unit: Finance

Position Title: Senior Manager, Finance Data Science

We are the makers of possible

BD is one of the largest global medical technology companies in the world. Advancing the world of health™ is our Purpose, and it’s no small feat. It takes the imagination and passion of all of us—from design and engineering to the manufacturing and marketing of our billions of MedTech products per year—to look at the impossible and find transformative solutions that turn dreams into possibilities.

Why Join Us?

A career at BD means learning and working alongside inspirational leaders and colleagues who are equally passionate and committed to fostering an inclusive, growth-centered, and rewarding culture. You will have the opportunity to help shape the trajectory of BD while leaving a legacy at the same time. To find purpose in the possibilities, we need people who can see the bigger picture, who understand the human story that underpins everything we do. We welcome people with imagination and drive to help us reinvent the future of health. At BD, you’ll discover a culture in which you can learn, grow and thrive. And find satisfaction in doing your part to make the world a better place. Become a maker of possible with us!

Job Summary:

As a Senior Manager -Finance Data Science you will be responsible for creating and implementing data science capabilities to improve financial data predictability and delivering deeper data driven insights. You will work with other data scientists, finance leaders, data engineers, Visualization team and technology teams in delivering measurable data science capabilities based on financial and non-financial data

The scope of this role is to lead the innovation in finance data science domain and execution of data science, understanding BD processes and data footprint, scoping and resource planning Analytics projects and owning the delivery of capabilities to Finance and business partners.

This role is accountable for designing and delivering predictive, diagnostic, scenario modelling, commentary generation, Conversation AI, prescriptive analytics and GenAI use cases using large data sets and find opportunities for improvement in business planning process.

This role will involve leading a global team in data mining, data analysis, building and implementing analytical models using open source or self-service data science and Machine Learning platforms and providing meaningful insights to Finance and business partners. This role will be the primary contact for data science activities in BD Finance and will report under Senior Director -Reporting and Analytics. Scope of this role will involve working with wide range of stakeholders in Finance, Business and Technology.

Duties and Responsibilities

Lead data science strategy in finance and partner with Finance and Business leaders
Responsible for continuous improvement, innovation and research of advanced modeling and insights for decision support

Build and scale a global data science team with data scientists, data engineers and analysts that are capable of end-to-end development of data science products, technologies or services.
Mentor technical members of the team and bridge team’s gap on finance business acumen to solve various problem statements across various finance domains
Provides leadership, strategic direction and takes accountability for requirements, procedures and standards
Partner with Data Engineers and Project Managers to deliver end-to-end solutions and works directly with business partners in developing, communicating and executing projects
Partner with cross-functional teams to identify and explore opportunities for the application of machine learning and lead proof of concepts to solve a business problem in an agile manner
Champions, advocates and facilitates the use of data and data science methods across the finance organization
Communicate results and ideas to key decision makers and explain complex models in a simple manner to senior stakeholders
Monitor end to end integration of data science model from data gathering, data cleaning, production and integration with user systems and tools
Monitor models for performance, develop checks against drifting and continuously improve the existing models
Balance long term strategic priorities with short term tactical needs
Collaborate with technology, engineering and Finance process teams
Keep up-to-date with latest technology trends like Generative AI

Minimum Qualifications

10-15 years of overall experience and 6-8 years of relevant experience.
Bachelors/Master’s in Statistics, Mathematics, Computer Science, Business Analytics, Finance or any quantitative
Degree in Finance and/or working experience in Finance
Previous experience in Finance Data Science Use cases and deployment.

Skills Required

Ability to lead and inspire individuals, foster teamwork and drive for common goals and achievements
Ability to inspire innovation, reward fail fast approach and foster creativity
Must have a strong commercial focus, a solid background in statistics, data science and managerial experience with machine learning
Knowledge of big data, data integration, machine learning, intermediate level of software development and automation skills
Experience Python, R, SQL to manipulate data and draw insights from large data sets
Experience in working with data science cloud platforms AWS, Azure etc.
Experience in cognitive analytics including NLP/NLG, Recommendation Engine, Digital assistant,GenAI etc.
Knowledge of Alteryx/DataIKU, Tableau/ PowerBI etc.
Good understanding of ETL tools and data pipelines
Experience in handling time series data and univariate and multivariate forecasting techniques
Experience with practical applications of machine learning techniques such as regression, decision trees, probability networks, association rules, clustering, neural networks, and/or Bayesian models
Experience in advanced statistical techniques and concepts
Previous experience in Finance domain
Demonstrated ability to handle multiple priorities & projects
Good knowledge around risk management, compliance adherence and commitments
Experience working across multiple levels of business stakeholders, creating context around key business drivers and strategic plan

Required Skills

Optional Skills

.

Primary Work Location

SGP The Strategy

Additional Locations

Work Shift

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Common Interview Questions And Answers

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