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Johnson & Johnson

Senior Director, Data Science – AI, Orthopedics

Johnson & Johnson

Sr. Director of Data Science & AI leading enterprise-wide capabilities at DePuy Synthes.

Posted 7/14/2026full-timeRaritan • Florida, Massachusetts, New Jersey, Pennsylvania • 🇺🇸 United StatesSenior💰 $196,000 - $342,700 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining and leading enterprise Data Science and AI strategies, with a focus on machine learning, generative AI, and operationalizing AI governance frameworks. Proven ability to translate complex data insights into actionable business outcomes while effectively communicating with C-suite executives.

Highest-signal resume keywords
AI/ML Landscape ExpertiseMLOps / LLMOps ProficiencyEnterprise AI Governance Framework DesignExecutive Level CommunicationData Science Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Machine LearningDeep LearningGenerative AIAgentic ArchitecturesData ScienceAdvanced AnalyticsModel Risk ManagementBias and Fairness TestingDrift MonitoringAudit Trails
Soft Skills
Strategic ThinkingCross-Functional CollaborationTechnical TranslationStakeholder EngagementExecutive Communication
Tools & Technologies
DatabricksSnowflakeSagemakerVector Database Orchestration FrameworksGenAI Provider Ecosystem
Industry Keywords
Data ScienceAI StrategyAnalytics Use CasesEnterprise Scale AIAI Hub Operations

About the role

Key responsibilities & impact
  • Define and lead the enterprise Data Science & AI strategy, roadmap and investment in alignment with business priorities and IT objectives, spanning machine learning, generative AI and agentic AI.
  • Build, lead, and develop high ‑ performing Data Science and AI team.
  • Serve as a senior Technical voice for AI across the enterprise, translating business problems into AI opportunities and setting realistic expectations grounding into what technology can and cannot do.
  • Stand up and operate the enterprise AI hub; Shared platform, reusable patterns.
  • Establish standards and reference architectures for generative and agentic AI, orchestration frameworks, retrieval patterns, semantic layers/knowledge graphs, agent action boundaries, observability and Human in the loop controls.
  • Partner with business and functional leaders to identify, prioritize, and deliver high ‑ value analytics and AI use cases.
  • Design and operationalize the enterprise AI governance framework; Model risk management, validation standards, explainability, bias and fairness testing, drift monitoring and audit trails.
  • Track and evaluate emerging AI capabilities (frontier models, Agentic frameworks, domain specific models) and bring the right one into enterprise.

Requirements

What you’ll need
  • Bachelor’s degree required in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • 12-14 years of relevant work experience, including senior leadership experience in data science, advanced analytics, or AI.
  • Deep current expertise in AI/ML Landscape; classic ML, Deep Learning, generative AI/LLMs and agentic architectures.
  • Demonstrated expertise in MLOps / LLMOps and production AI at enterprise scale.
  • Working fluency with the modern AI/data stack; eg -Databricks /Snowflake/ Sagemaker or comparable platforms, vector database orchestration frameworks and GenAI provider ecosystem (Anthropic, openAI, etc.).
  • Demonstrated ability to translate complex data insights into actionable business outcomes.
  • Experience partnering with senior executives and cross ‑ functional stakeholders.
  • Executive level communication, able to set strategy with C-suite audiences, defend technical position and rigor and translate between business and deep technical stakeholders.

Benefits

Comp & perks
  • Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).
  • This position is eligible to participate in the Company’s long-term incentive program.
  • 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 period.
  • Volunteer Leave – 32 hours per calendar year.
  • Military Spouse Time-Off – 80 hours per calendar year.