AI Solutions Lead

Skills this role screens for

About the role

Johnson and Johnson is hiring for the role of AI Sloutions Lead!

The work

Responsibilities of the Candidate

• Translate business challenges into analytical approaches, machine learning models, and AI-enabled solutions.
• Explore, transform, and analyze structured and unstructured data to identify insights and business opportunities.
• Develop, validate, and deploy predictive, classification, segmentation, recommendation, forecasting, optimization, and causal models.
• Apply statistical analysis, hypothesis testing, machine learning, and experimentation techniques to improve business outcomes and decision-making.
• Design and evaluate experiments, including A/B tests and pilot studies, to measure the effectiveness and impact of business interventions, digital products, and AI solutions.
• Define success metrics and measure solution impact through business, operational, and adoption KPIs.
• Communicate analytical findings, model outputs, and recommendations to both business and technical stakeholders.

Who they want

Requirements

• Strong foundation in statistics, probability, hypothesis testing, experimental design, A/B testing, machine learning, predictive modelling, feature engineering, and model evaluation.
• Experience applying analytical techniques to solve commercial, marketing, customer engagement, forecasting, segmentation, targeting, optimization, or business performance challenges.
• Experience designing and evaluating experiments to measure business impact, user behavior, product effectiveness, marketing effectiveness, or customer engagement outcomes.
• Hands-on experience designing and deploying Generative AI solutions using prompt engineering, agentic workflows, tool orchestration, model evaluation, and monitoring approaches.
• Experience building, evaluating, and deploying machine learning and AI solutions in business environments.
• Practical experience with cloud and data platforms such as Databricks, Azure, AWS, Azure ML, or AWS Bedrock.
• Strong programming skills in Python, SQL, and PySpark.
• Experience integrating AI solutions with APIs, enterprise data platforms, and business applications.
• Understanding of Responsible AI, privacy, security, and compliance considerations for AI solutions.
• Ability to translate ambiguous business problems into structured analytical and technical solutions.
• Strong communication skills with the ability to explain complex AI concepts to business and technology stakeholders.
• Ability to work effectively in a matrixed, cross-functional environment and manage multiple priorities.
• Strong ownership mindset, problem-solving ability, and willingness to operate hands-on.