Dir Technology Management

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Job Function:

Enterprise Management

Job Sub Function:

Technology Management

Job Category:

People Leader

All Job Posting Locations:

New Brunswick New Jersey United States of America Palm Beach Gardens Florida United States of America Raritan New Jersey United States of America Raynham Massachusetts United States of America Warsaw Indiana United States of America West Chester Pennsylvania United States of America

Job Description:

DePuy Synthes is recruiting for a Director Technology Management located in New Brunswick NJ.

Job Overview

The Director Technology Management is responsible for leading the delivery and execution of enterprise Data Science and Artificial Intelligence initiatives across DePuy Synthes. Reporting to the VP Chief Data and AI Officer this role will partner closely with business leaders product teams data engineering architecture and digital organizations to identify prioritize develop and scale AI and advanced analytics solutions that drive measurable business value.

The successful candidate is a hands-on leader with strong technical expertise in machine learning generative AI agentic AI and advanced analytics. This individual will lead a team of Forward Deployed Engineers (FDEs) Data Scientists and AI practitioners manage a portfolio of high-impact AI use cases and serve as the operational lead for the Enterprise AI Governance Board ensuring responsible secure and compliant AI adoption across the organization.

Key Responsibilities

• Lead the execution of Data Science Machine Learning Generative AI and Agentic AI initiatives across R&D Supply Chain Manufacturing Quality Commercial and Corporate functions.

• Manage and mentor a team of Full-Stack Data Engineers (FDEs) Data Scientists ML Engineers and AI practitioners fostering a culture of innovation accountability and continuous learning.

• Partner with business and functional leaders to identify prioritize and deliver high-value analytics and AI use cases aligned to enterprise objectives.

• Translate business challenges into scalable AI machine learning and advanced analytics solutions that drive measurable business outcomes.

• Lead the design development deployment and operationalization of predictive prescriptive and generative AI solutions.

• Establish delivery roadmaps success metrics and value realization frameworks for Data Science and AI initiatives.

• Serve as the operational owner of the Enterprise AI Governance Board coordinating governance processes use case reviews risk assessments and approval workflows.

• Ensure AI solutions comply with enterprise governance standards Responsible AI principles model validation requirements privacy expectations and regulatory obligations.

• Collaborate with Enterprise Data Architecture Security Privacy Legal and Quality teams to ensure AI solutions are scalable secure and compliant.

• Drive adoption of AI platform capabilities reusable components model development standards and MLOps/LLMOps best practices.

• Establish and monitor AI model performance accuracy explainability drift detection and operational metrics.

• Provide technical leadership and guidance on machine learning algorithms agentic AI architectures LLMs orchestration frameworks vector databases and AI application development.

• Partner with Data Engineering and Platform teams to enable scalable data foundations and modern AI capabilities on enterprise platforms.

• Evaluate emerging AI technologies tools frameworks and vendors providing recommendations for adoption and experimentation.

• Present program status value realization risks and strategic recommendations to senior leadership and governance forums.

Qualifications

Education

• Bachelors degree required in Data Science Computer Science Engineering Mathematics Statistics or a related field.

• Masters degree preferred.

Experience and Skills

Required

• 10 years of relevant experience in Data Science Artificial Intelligence Machine Learning Advanced Analytics or related fields.

• Demonstrated experience leading Data Science AI or advanced analytics teams in a complex enterprise environment.

• Strong expertise across machine learning deep learning generative AI large language models (LLMs) and agentic AI architectures.

• Hands-on experience building and deploying AI/ML solutions in production environments.

• Experience with MLOps LLMOps model lifecycle management automation and monitoring.

• Strong proficiency with modern AI and data platforms such as Databricks AWS Azure SageMaker vector databases orchestration frameworks and GenAI ecosystems.

• Experience partnering directly with business stakeholders to identify prioritize and deliver AI-driven business outcomes.

• Strong understanding of AI governance Responsible AI practices model risk management explainability and compliance requirements.

• Proven ability to lead cross-functional teams and manage complex AI and analytics programs.

• Strong communication and stakeholder management skills with the ability to influence technical and non-technical audiences.

• Experience managing globally distributed teams and working within matrixed organizations.

Preferred

• Experience in healthcare medical technology life sciences or other regulated industries.

• Experience implementing Generative AI and Agentic AI solutions at enterprise scale.

• Familiarity with GxP 21 CFR Part 11 SOX data privacy and regulated environment requirements.

• Experience establishing AI governance processes operating models and oversight mechanisms.

• Experience working with cloud-native AI platforms and modern enterprise data ecosystems.

• Strong executive communication and storytelling skills using data and analytics.

• Experience leading cross-functional AI transformation initiatives with measurable business impact.

Other

• Language: English proficiency required.

• Travel: Up to 20% domestic and international travel may be required.

For more information on how we support the whole health of our employees throughout their wellness career and life journey please visit .

Johnson & Johnson announced plans to separate our Orthopaedics business to establish a standalone orthopaedics company operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months subject to legal requirements including consultation with works councils and other employee representative bodies as may be required regulatory approvals and other customary conditions and approvals. Should you accept this position it is anticipated that following conclusion of the transaction you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes programs policies and benefit that case details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation external applicants please contact us via internal employees contact AskGS to be directed to your accommodation resource.

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Required Skills:

Preferred Skills:

Business Case Modeling Business Requirements Analysis Corporate Management Cross-Functional Collaboration Developing Others Emerging Technologies Gap Analysis Global Market Inclusive Leadership Leadership Operational Excellence Performance Measurement Product Improvements Product Lifecycle Management (PLM) Product Management Product Strategies Quality Assurance (QA) Risk Management Technical Credibility

The anticipated base pay range for this position is :

$150000.00 - $300000.00 Annually

Additional Description for Pay Transparency:

Subject to the terms of their respective plans employees are eligible to participate in the Companys consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Companys long-term incentive program. Subject to the terms of their respective policies and date of hire employees are eligible for the following time off benefits: Vacation 120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado 48 hours per calendar year; for employees who reside in the State of Washington 56 hours per calendar year Holiday pay including Floating Holidays 13 days per calendar year Work Personal and Family Time - up to 40 hours per calendar year Parental Leave 480 hours within one year of the birth/adoption/foster care of a child Bereavement Leave 240 hours for an immediate family member: 40 hours for an extended family member per calendar year Caregiver Leave 80 hours in a 52-week rolling period10 days Volunteer Leave 32 hours per calendar year Military Spouse Time-Off 80 hours per calendar year For additional general information on Company benefits please go to: -