Hobbsnews
Data Science Architect & Delivery Manager (Hybrid)
Hobbsnews, Franklin, New Jersey, us, 07416
Job Description Summary
Job Description
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.We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you’ll be supported to learn, grow and become your best self. Become a
maker of possible
with us.SummaryWe are seeking a highly skilled and motivated
Data Science Architect & Delivery Manager
to join our TGS Digital Transformation team. This pivotal role will support BD's Cashflow Forecasting program during and post-implementation, ensuring the AI/ML solution aligns with business objectives to enhance the accuracy and reliability in cashflow predictions. This position will play a crucial role in advancing BD’s strategic goals for AI/ML adoption and MLOps practices, driving innovation and excellence in our data science initiatives.The ideal candidate will act as a bridge between external vendors and various internal teams, including business stakeholders, data engineering, data governance, cybersecurity, regulatory, AI governance, and IT validation, ensuring seamless coordination in a complex environment. This role requires direct interactions with business and TGS stakeholders and offers global coverage.
The preferred location for this position is our BD headquarters in Franklin Lakes, New Jersey, US.Key ResponsibilitiesLead delivery squads in defining, building, interpreting, and deploying predictive analytics and machine learning models, driving continuous improvement and iterative enhancements of AI/ML models.Oversee the solution architecture for complex projects to mitigate risks associated with AI/ML implementation, ensuring regulatory compliance, scalability, reusability, and maintaining data integrity.Ensure effective coordination between 3rd party vendors and internal teams such as business stakeholder teams, data engineering, AI governance, cybersecurity, regulatory, data governance, and IT validation.Manage offshore teams in continuous delivery, coordinating sprint planning, execution, and delivery of robust AI solutions.Engage in direct interactions with business and TGS stakeholders to ensure alignment with business objectives and ensure successful delivery of AI solutions.Promote a culture of data-driven decision making within the organization. Mentor and develop team members, providing guidance and support to reach their full potential.Technical SkillsExpertise in predictive analytics and machine learning model development and deployment.Proficiency in programming languages such as Python and R for data analysis, machine learning model development, and deployment.Experience with advanced machine learning techniques and frameworks (e.g., deep learning, reinforcement learning).Strong understanding of AI governance, cybersecurity, regulatory compliance, data governance, and IT validation/service management processes.Experience with ML lifecycle management tools such as MLflow, Kubeflow, or similar platforms.In-depth knowledge of cloud services (e.g., Azure, AWS), particularly Databricks, Azure Machine Learning, Azure Data Factory, and other related services.Solid understanding of data engineering principles and experience with ETL processes.Data visualization skills to effectively communicate insights.Soft SkillsExcellent leadership and communication skills to lead and motivate a diverse team.Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.Proven management skills to oversee complex data-related projects involving multiple teams and stakeholders.Demonstrated experience in leading and managing change initiatives, particularly in the context of AI adoption.Ability to work effectively in a complex, global environment with stakeholders possessing varying levels of data literacy.Strong problem-solving skills and the ability to think strategically to align AI/ML initiatives with business goals.Adaptability and a commitment to continuous learning in a fast-paced field.QualificationsBachelor's degree or higher in computer science, engineering, mathematics, or related field.Proven experience as a Data Science Lead/Manager or similar role (5+ years) including hands-on experience.Demonstrated success in implementing AI/ML solutions in complex business environments.Experience with data science maturity models to scale and mature data science practices within the organization.Familiarity with the medical device industry, the Finance domain, and cashflow forecasting.BenefitsThis role offers an exciting opportunity to be at the forefront of AI/ML implementation in a dynamic and impactful organization. If you are passionate about driving data-driven decision-making and have the skills and experience we are looking for, we encourage you to apply.Competitive Salary: Attractive salary package based on experience and qualifications.Professional Development: Opportunities for professional development, training, and certifications.Work-Life Balance: Flexible working hours and remote work options.Inclusive Environment: An inclusive and collaborative work culture that values diversity and innovation.Application ProcessInterested candidates are invited to submit their resume, cover letter, and any relevant project portfolios or GitHub repositories. Our recruitment team will review all applications and reach out to candidates who meet our qualifications for further interviews and assessments.For certain roles at BD, employment is contingent upon the Company’s receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required.Why Join Us?A career at BD means being part of a team that values your opinions and contributions and that encourages you to bring your authentic self to work. It’s also a place where we help each other be great, we do what’s right, we hold each other accountable, and learn and improve every day.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 the 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.To learn more about BD visit
https://bd.com/careers .Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.
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Job Description
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.We believe that the human element, across our global teams, is what allows us to continually evolve. Join us and discover an environment in which you’ll be supported to learn, grow and become your best self. Become a
maker of possible
with us.SummaryWe are seeking a highly skilled and motivated
Data Science Architect & Delivery Manager
to join our TGS Digital Transformation team. This pivotal role will support BD's Cashflow Forecasting program during and post-implementation, ensuring the AI/ML solution aligns with business objectives to enhance the accuracy and reliability in cashflow predictions. This position will play a crucial role in advancing BD’s strategic goals for AI/ML adoption and MLOps practices, driving innovation and excellence in our data science initiatives.The ideal candidate will act as a bridge between external vendors and various internal teams, including business stakeholders, data engineering, data governance, cybersecurity, regulatory, AI governance, and IT validation, ensuring seamless coordination in a complex environment. This role requires direct interactions with business and TGS stakeholders and offers global coverage.
The preferred location for this position is our BD headquarters in Franklin Lakes, New Jersey, US.Key ResponsibilitiesLead delivery squads in defining, building, interpreting, and deploying predictive analytics and machine learning models, driving continuous improvement and iterative enhancements of AI/ML models.Oversee the solution architecture for complex projects to mitigate risks associated with AI/ML implementation, ensuring regulatory compliance, scalability, reusability, and maintaining data integrity.Ensure effective coordination between 3rd party vendors and internal teams such as business stakeholder teams, data engineering, AI governance, cybersecurity, regulatory, data governance, and IT validation.Manage offshore teams in continuous delivery, coordinating sprint planning, execution, and delivery of robust AI solutions.Engage in direct interactions with business and TGS stakeholders to ensure alignment with business objectives and ensure successful delivery of AI solutions.Promote a culture of data-driven decision making within the organization. Mentor and develop team members, providing guidance and support to reach their full potential.Technical SkillsExpertise in predictive analytics and machine learning model development and deployment.Proficiency in programming languages such as Python and R for data analysis, machine learning model development, and deployment.Experience with advanced machine learning techniques and frameworks (e.g., deep learning, reinforcement learning).Strong understanding of AI governance, cybersecurity, regulatory compliance, data governance, and IT validation/service management processes.Experience with ML lifecycle management tools such as MLflow, Kubeflow, or similar platforms.In-depth knowledge of cloud services (e.g., Azure, AWS), particularly Databricks, Azure Machine Learning, Azure Data Factory, and other related services.Solid understanding of data engineering principles and experience with ETL processes.Data visualization skills to effectively communicate insights.Soft SkillsExcellent leadership and communication skills to lead and motivate a diverse team.Strong verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.Proven management skills to oversee complex data-related projects involving multiple teams and stakeholders.Demonstrated experience in leading and managing change initiatives, particularly in the context of AI adoption.Ability to work effectively in a complex, global environment with stakeholders possessing varying levels of data literacy.Strong problem-solving skills and the ability to think strategically to align AI/ML initiatives with business goals.Adaptability and a commitment to continuous learning in a fast-paced field.QualificationsBachelor's degree or higher in computer science, engineering, mathematics, or related field.Proven experience as a Data Science Lead/Manager or similar role (5+ years) including hands-on experience.Demonstrated success in implementing AI/ML solutions in complex business environments.Experience with data science maturity models to scale and mature data science practices within the organization.Familiarity with the medical device industry, the Finance domain, and cashflow forecasting.BenefitsThis role offers an exciting opportunity to be at the forefront of AI/ML implementation in a dynamic and impactful organization. If you are passionate about driving data-driven decision-making and have the skills and experience we are looking for, we encourage you to apply.Competitive Salary: Attractive salary package based on experience and qualifications.Professional Development: Opportunities for professional development, training, and certifications.Work-Life Balance: Flexible working hours and remote work options.Inclusive Environment: An inclusive and collaborative work culture that values diversity and innovation.Application ProcessInterested candidates are invited to submit their resume, cover letter, and any relevant project portfolios or GitHub repositories. Our recruitment team will review all applications and reach out to candidates who meet our qualifications for further interviews and assessments.For certain roles at BD, employment is contingent upon the Company’s receipt of sufficient proof that you are fully vaccinated against COVID-19. In some locations, testing for COVID-19 may be available and/or required.Why Join Us?A career at BD means being part of a team that values your opinions and contributions and that encourages you to bring your authentic self to work. It’s also a place where we help each other be great, we do what’s right, we hold each other accountable, and learn and improve every day.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 the 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.To learn more about BD visit
https://bd.com/careers .Becton, Dickinson and Company is an Equal Opportunity/Affirmative Action Employer. We do not unlawfully discriminate on the basis of race, color, religion, age, sex, creed, national origin, ancestry, citizenship status, marital or domestic or civil union status, familial status, affectional or sexual orientation, gender identity or expression, genetics, disability, military eligibility or veteran status, or any other protected status.
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