Lead Data Platform Engineer

Johnson & Johnson, Technology Services is recruiting for a Lead, AI/ML Data platform, located in Raritan, NJ.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at ;br>
Key Responsibilities:

• Guide critical aspects of the team's charter and strategy in developing our ML & AI Platform.
• Collaborate with Data Scientists, Applied ML, and Applied AI teams to understand their needs and prioritize initiatives that accelerate their workflows.
• Work with other engineering teams such as Cloud and Security to inform system design and integrate new systems into enterprise stack.
• Define and develop standard methodologies and processes to support efficient team operations.
• Define advanced features such as automated machine learning (AutoML), distributed training, model optimization techniques, and APIs/SDKs for seamless integration of AI service
• Collaborate with the data engineering team to design efficient data ingestion, preprocessing, and feature engineering pipelines.
• Ensure robust security measures, including model and data encryption, access controls, and compliance with Enterprise AI regulations.
• Lead efforts in multi-modal AI, incorporating text, image, audio, and video processing capabilities into the platform.
• Define and run a 12+ month feature roadmap, balancing value creation and cost considerations.
• Work multi-functionally with executives, sales, product marketing, and customer success teams to meet objectives and communicate plans.
• Collect and analyze feedback from customers, partners, and other teams to craft requirements, features, and final products.
• Stay informed about evolving data platform technologies and industry trends to advise on strategic enhancements.
• Collaborate with J&J teams to create a robust, flexible architecture supporting current and future data products (e.g., unstructured data).
• Design and optimize the architecture using proven data platform methodologies, ensuring scalability, performance, and security.

Qualifications

Education:

• Bachelor's degree in computer science, Information Technology, Engineering, or related field is required.
• Master's is preferred.

Experience and Skills:

Required:

• 5 years of infrastructure engineering experience, including more than 5 years in building, launching, and scaling enterprise AI solutions using ML/AI infrastructure services from leading cloud providers.
• Demonstrated ability in team management.
• 5 years of experience as an ML or Data Platform engineer focused on ML/AI.
• Expertise in MLOps and distributed systems, as well as cloud-native architectures.
• Proven track record in business partnership, effectively communicating and collaborating with customers, prospects, and partners
• 5+ years of engineering management experience, especially in ML/AI platform roles.
• Proven experience in LLM Ops and Generative AI applications and infrastructure.
• Strong technical competence, with the capability to understand and debate technical and product tradeoffs, and approach building scalable architectures.
• Passion for developing, coaching, and scaling team members.

Key Technologies & Tools

• Data Technologies: Spark, Databricks, Snowflake, MS Fabric, Denodo, Alation
• Cloud platforms: AWS (Redshift, S3, Glue, Athena), Google Cloud (BigQuery, Dataflow), Microsoft Azure (Data Lake, Synapse, Databricks)
• Data Monitoring & Observability: Prometheus, Grafana
• Familiarity with one or more of the following AI/ML Tools & Libraries: Dataiku, AWS Sagemaker, Domino, Alteryx, SAS, TensorFlow, PyTorch, Scikit-learn, MLFlow
• Containerization & Orchestration: EKS Docker, Kubernetes, Helm, Argo Workflows
• Programming Languages: Python, PySpark, R

#JNJTech

The anticipated base pay range for this position is $104,000 to $166,750.

The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis.

• Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.
• Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)).
• Employees are eligible for the following time off benefits:
  • Vacation - up to 120 hours per calendar year
  • Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year
  • Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year
• Additional information can be found through the link below. ;/li>

The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.