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About This Role
Job ID R\-539280 Date posted 25 March 2026
Job Description Summary
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Assume Channel Partner relationships for operations and lead BD in providing quality efficient Supply Chain services, promoting integration within BD and channel partners. A highly collaborative flawless partnership with the BD Channel Management group, BD businesses and BD functional departments that brings focus on BD supply chain efficiencies and costs, together with the business strategies and customer service requirements. Identify, initiate, and drive process improvement solutions that will ultimately provide operating efficiencies and alignments within the supply chain, resulting in cost reduction and increasing service level to customers.Job Description
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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.
Job Overview:
Assume Channel Partner relationships for operations and lead BD in providing quality efficient Supply Chain services, promoting integration within BD and channel partners. A highly collaborative flawless partnership with the BD Channel Management group, BD businesses and BD functional departments that brings focus on BD supply chain efficiencies and costs, together with the business strategies and customer service requirements. Identify, initiate, and drive process improvement solutions that will ultimately provide operating efficiencies and alignments within the supply chain, resulting in cost reduction and increasing service level to customers.
Duties and Responsibilities:
- Responsible for the overall BDX Supply Chain
- Relationship with BD Channel Partners and strategic IDN’s
- Work collaboratively with the Channel Management, Strategic Customer Group and BD Business Teams assuring alignment of the supply chain initiatives with the overall commercial and Supply Chain strategies.
- Lead Quarterly Business Review session with Channel Partner, demonstrating BD Supply Chain Relations Best Practices.
- Participate into yearly top to top meetings when appropriate.
- Monitor the day\-to\-day supply chain activities with Channel Partners assuring Operational Perfection and a high level of Service.
- Drive Supply Chain operational efficiencies and process improvement between us and our Partners.
- Make sure cost savings are identified and accurately reported.
- Accountable for developing metrics systems that routinely capture BD's service to the customer/distributor and their service to end customers.
- Put in place the appropriate communication, both internally and extern Develop and drive end to end visibility of Top customer Order Trends, Daily Inventory Positions and Forecast accuracy on future demand. (30 – 90 days).
- Develop reporting and process to incorporate Customer inventory and Demand Visibility into Business Unit management of materials in short supply.
- Lead discussions with Supply Chain Managers, Channel Management VP’s, Strategic Customer Group VP’s to harvest meaning customer insights to align with data trends.
- Serve as a conduit between Channel Partners, Supply Chain Relations, Customer Demand Visibility team, Demand Planners and Business Unit Marketing analysts.
- Develop and implement strategy for Distributor customer relations that increases Customer satisfaction and drives BD effectiveness and efficiency.
- Direct activities related to successfully implementing the strategy by leading, developing and influencing supply chain partnership and alignment with Channel Management, BU’s, Order Management, Customer Care teams and other internal collaborators.
- Lead Supply Chain Relations Continuous Improvement activities – including managing team project portfolio and tracking and project management.
- Oversee Supply Chain Relations projects and programs to ensure they are completed effectively, timely and on budget.
Skills
- End to End Supply Chain Operations experience a plus. Deep understanding of Distributor, Logistics and Demand Planning Operations.
- Project Management experience including demonstrated problem\-solving skills, root cause analysis, financial return on investment analysis.
- Proficient in DMAIC (Define, Measure, Analyze, Improve and Control) process. Ability to lead a data driven exercise for improving, optimizing, and stabilizing business processes and designs.
- Critical and Strategic thinking with the ability to related strategy to reality
- Results focus and decision making
- Critical thinking with the ability to related strategy to reality
- Advanced Excel / Power BI skills
- Fluency in SAP / SAP BI and JDE
- Strong Analytical capabilities (attention to detail)
- Strong interpersonal, written, and oral communication skills
- Ability to develop Channel Partner Annual Strategic Review Plans including completing SWOT analysis.
Education and/ or Experience Required:
- Bachelor's Degree, preferable with concentration in Business or Supply Chain Management/Logistics
- Minimum 4\-7 years work experience. Supply Chain/Logistics or Sales functions with an organization actively engaged with both Distributors and large direct accounts preferred.
- Applicants must be authorized to work for ANY employer in the US. We are unable to sponsor or take over sponsorship of employment Visa at this time.
Desirable Qualifications:
- Graduate Degree preferred.
- MBA preferred
- Six Sigma Green Belt certification preferred
- Distributor Management or Sales Experience preferred
- Medical device industry experience is a plus
At BD, we prioritize on\-site collaboration because we believe it fosters creativity, innovation, and effective problem\-solving, which are essential in the fast\-paced healthcare industry. For most roles, we require a minimum of 4 days of in\-office presence per week to maintain our culture of excellence and ensure smooth operations, while also recognizing the importance of flexibility and work\-life balance. Remote or field\-based positions will have different workplace arrangements which will be indicated in the job posting.
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. Consistent with BD’s Workplace Accommodations Policy, requests for accommodation will be considered pursuant to applicable law.
At BD, we are committed to supporting our associates’ well\-being, development, and success through a performance\-based culture. For this position, BD offers a competitive compensation package along with the following benefits specific to this role:
- Annual Bonus
- Potential Discretionary LTI Bonus
- Potential reimbursement of phone use
Health and Well\-being Benefits
- Medical coverage
- Health Savings Accounts
- Flexible Spending Accounts
- Dental coverage
- Vision coverage
- Hospital Care Insurance
- Critical Illness Insurance
- Accidental Injury Insurance
- Life and AD\&D insurance
- Short\-term disability coverage
- Long\-term disability insurance
- Long\-term care with life insurance
Other Well\-being Resources
- Anxiety management program
- Wellness incentives
- Sleep improvement program
- Diabetes management program
- Virtual physical therapy
- Emotional/mental health support programs
- Weight management programs
- Gastrointestinal health program
- Substance use management program
- Musculoskeletal surgery, cancer treatment, and bariatric surgery benefit
Retirement and Financial Well\-being
- BD 401(k) Plan
- BD Deferred Compensation and Restoration Plan
- 529 College Savings Plan
- Financial counseling
- Baxter Credit Union (BCU)
- Daily Pay
- College financial aid and application guidance
Life Balance Programs
- Paid time off (PTO), including all required State leaves
- Educational assistance/tuition reimbursement
- MetLife Legal Plan
- Group auto and home insurance
- Pet insurance
- Commuter benefits
- Discounts on products and services
- Academic Achievement Scholarship
- Service Recognition Awards
- Employer matching donation
- Workplace accommodations
Other Life Balance Programs
- Adoption assistance
- Backup day care and eldercare
- Support for neurodivergent adults, children, and caregivers
- Caregiving assistance for elderly and special needs individuals
- Employee Assistance Program (EAP)
- Paid Parental Leave
- Support for fertility, birthing, postpartum, and age\-related hormonal changes
Leave Programs
- Bereavement leaves
- Military leave
- Personal leave
- Family and Medical Leave (FML)
- Jury and Witness Duty Leave
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 Employer. We evaluate applicants without regard to 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, and other legally\-protected characteristics.
Required Skills
Optional Skills
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Primary Work Location
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USA NJ \- Franklin LakesAdditional Locations
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Work Shift
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At BD, we are strongly committed to investing in our associates—their well\-being and development, and in providing rewards and recognition opportunities that promote a performance\-based culture. We demonstrate this commitment by offering a valuable, competitive package of compensation and benefits programs which you can learn more about on our Careers Site under Our Commitment to You.
Salary or hourly rate ranges have been implemented to reward associates fairly and competitively, as well as to support recognition of associates’ progress, ranging from entry level to experts in their field, and talent mobility. There are many factors, such as location, that contribute to the range displayed. The salary or hourly rate offered to a successful candidate is based on experience, education, skills, and any step rate pay system of the actual work location, as applicable to the role or position. Salary or hourly pay ranges may vary for Field\-based and Remote roles.
Salary Range Information
$114,600\.00 \- $189,100\.00 USD Annual
Salary Context
This $114K-$189K range is above the median for AI/ML Engineer roles in our dataset (median: $100K across 15465 roles with salary data).
View full AI/ML Engineer salary data →Role Details
About This Role
AI/ML Engineers build and deploy machine learning models in production. They work across the full ML lifecycle: data pipelines, model training, evaluation, and serving infrastructure. The role has evolved significantly over the past two years. Where ML Engineers once spent most of their time on model architecture, the job now tilts heavily toward inference optimization, cost management, and integrating LLM capabilities into existing systems. Companies want engineers who can ship production systems, and the experimenter-only role is fading fast.
Day-to-day, you're writing training pipelines, debugging data quality issues, setting up evaluation frameworks, and figuring out why your model performs differently in staging than it did on your dev set. The best ML engineers are obsessive about reproducibility and measurement. They instrument everything. They know that a model is only as good as the data feeding it and the infrastructure serving it.
Across the 26,159 AI roles we're tracking, AI/ML Engineer positions make up 91% of the market. At BD, this role fits into their broader AI and engineering organization.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
What the Work Looks Like
A typical week might include: debugging a data pipeline that's silently dropping 3% of training examples, running A/B tests on a new model version, writing documentation for a feature flag system that lets you roll back model deployments, and reviewing a junior engineer's PR for a new evaluation metric. Meetings tend to be cross-functional since ML touches product, engineering, and data teams.
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
Skills Required
Python and PyTorch dominate the requirements. Most roles expect experience with cloud platforms (AWS, GCP, or Azure) and familiarity with ML frameworks like TensorFlow or JAX. RAG (Retrieval-Augmented Generation) has become a top-3 skill requirement as companies integrate LLMs into their products. Docker and Kubernetes show up in about a third of postings, reflecting the production focus of the role.
Beyond the core stack, employers increasingly want experience with experiment tracking tools (MLflow, Weights & Biases), feature stores, and vector databases. Fine-tuning experience is valuable but less common than you'd think from reading Twitter. Most production LLM work is RAG and prompt engineering, not fine-tuning. If you have both, you're in a strong position.
Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
Compensation Benchmarks
AI/ML Engineer roles pay a median of $166,983 based on 13,781 positions with disclosed compensation. Mid-level AI roles across all categories have a median of $131,300. This role's midpoint ($151K) sits 9% below the category median. Disclosed range: $114K to $189K.
Across all AI roles, the market median is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. For comparison, the highest-paying categories include AI Engineering Manager ($293,500) and AI Architect ($292,900). By seniority level: Entry: $76,880; Mid: $131,300; Senior: $227,400; Director: $244,288; VP: $234,620.
BD AI Hiring
BD has 7 open AI roles right now. They're hiring across AI/ML Engineer. Positions span Franklin Lakes, NJ, US, Tempe, AZ, US, El Paso, TX, US. Compensation range: $151K - $326K.
Location Context
Across all AI roles, 7% (1,863 positions) offer remote work, while 24,200 require on-site attendance. Top AI hiring metros: Los Angeles (1,695 roles, $178,000 median); New York (1,670 roles, $200,000 median); San Francisco (1,059 roles, $244,000 median).
Career Path
Common paths into AI/ML Engineer roles include Data Scientist, Software Engineer, Research Engineer.
From here, career progression typically leads toward ML Architect, AI Engineering Manager, Principal ML Engineer.
The fastest path into ML engineering is through software engineering with a self-directed ML education. A CS degree helps, but production engineering skills matter more than academic credentials. Build something that works, deploy it, and measure it. That portfolio project is worth more than a Coursera certificate. For career growth, the fork comes around the senior level: go deep on technical complexity (staff/principal track) or move into managing ML teams.
What to Expect in Interviews
Expect system design questions around ML pipelines: how you'd build a training pipeline for a specific use case, handle data drift, or design A/B testing infrastructure for model deployments. Coding rounds typically involve Python, with emphasis on data manipulation (pandas, numpy) and algorithm implementation. Take-home assignments often ask you to build an end-to-end ML pipeline from raw data to deployed model.
When evaluating opportunities: Companies that are serious about AI/ML hiring tend to post specific infrastructure details in the job description: the frameworks they use, their model serving stack, their data pipeline tools. Vague postings that just say 'ML experience required' without specifics are often companies that haven't figured out what they need yet.
AI Hiring Overview
The AI job market has 26,159 open positions tracked in our dataset. By seniority: 2,416 entry-level, 16,247 mid-level, 5,153 senior, and 2,343 leadership roles (Director, VP, C-Level). Remote roles make up 7% of the market (1,863 positions). The remaining 24,200 roles require on-site or hybrid attendance.
The market median for AI roles is $184,000. Top-quartile compensation starts at $244,000. The 90th percentile reaches $309,400. Highest-paying categories: AI Engineering Manager ($293,500 median, 28 roles); AI Architect ($292,900 median, 108 roles); AI Safety ($274,200 median, 19 roles).
Demand for AI/ML Engineers has been strong and consistent. Unlike some AI roles that spike with hype cycles, ML engineering is a foundational need. Every company deploying AI models needs people who can keep them running, and the gap between research prototypes and production systems keeps growing.
The AI Job Market Today
The AI job market spans 26,159 open positions across 15 role categories. The largest categories by volume: AI/ML Engineer (23,752), AI Software Engineer (598), AI Product Manager (594). These three account for the majority of open positions, though smaller categories often have higher per-role compensation because of specialized skill requirements.
The seniority mix tells a story about where AI teams are in their maturity. Entry-level roles (2,416) are outnumbered by mid-level (16,247) and senior (5,153) positions, reflecting that most companies are past the 'build a team from scratch' phase and need experienced engineers who can ship production systems. Leadership roles (Director, VP, C-Level) total 2,343 positions, representing the bottleneck between technical execution and organizational strategy.
Remote work availability sits at 7% of all AI roles (1,863 positions), with 24,200 requiring on-site or hybrid attendance. The remote share has stabilized after the post-pandemic correction. Senior and specialized roles (Research Scientist, ML Architect) are more likely to be remote-eligible than entry-level positions, partly because experienced hires have more negotiating power and partly because these roles require less hands-on mentorship.
AI compensation is structured in clear tiers. The market median sits at $184,000. Top-quartile roles start at $244,000, and the 90th percentile reaches $309,400. These figures include base salary with disclosed compensation. Total compensation (including equity, bonuses, and sign-on) runs 20-40% higher at companies that offer those components.
Category matters for compensation. AI Engineering Manager roles lead at $293,500 median, while Prompt Engineer roles sit at $122,200. The spread between highest and lowest-paying categories reflects the premium on specialized technical skills versus broader analytical roles.
The most in-demand skills across all AI postings: Rag (16,749 postings), Aws (8,932 postings), Rust (7,660 postings), Python (3,815 postings), Azure (2,678 postings), Gcp (2,247 postings), Prompt Engineering (1,469 postings), Openai (1,269 postings). Python dominates, appearing in the vast majority of role descriptions regardless of category. Cloud platform experience (AWS, GCP, Azure) is the second most common requirement. The newer entrants to the top skills list (RAG, vector databases, LLM APIs) reflect the shift from traditional ML toward generative AI applications.
Frequently Asked Questions
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