Job description

Primary Function of Position We are seeking an experienced Senior Insights Architect for Analytics and AI Solutions to lead the design and implementation of our advanced analytics, data product architecture and collaborate during development of AI solutions, while also playing a key role in integrating these capabilities into our business processes. The ideal candidate will have a strong background in developing analytics, evaluating AI solutions using Engineering and Supply Chain Data, hands-on experience collaborating during building and deploying AI/ML models and GenAI-powered solutions, and experience leading the technical design and development of complex data products. They will have a deep understanding of data warehousing, data modeling, and visualization techniques as well as modern AI frameworks and large language model (LLM) integration patterns and will be able to effectively translate business requirements into scalable and performant technical solution requirements. This role requires a strong ability to influence and collaborate across teams, even without direct authority, to ensure successful implementation and adoption of analytics and AI solutions. Essential Job Duties • Work closely with business stakeholders across Process, Design and Supplier Engineering functions to understand their analytics needs and translate them into scalable and performant technical solutions, including requirements for AI-driven insights and automation opportunities. • Lead the design and development of complex analytics and data products that address Engineering challenges and opportunities, including predictive models, anomaly detection systems, and GenAI-powered tools, and drive their integration into key Engineering processes in partnership with process owners. • Evaluate, prototype, and recommend AI/ML approaches (supervised, unsupervised, and generative) to solve Engineering business problems. • Manage the roadmap for analytics and data products, including AI/ML initiatives, aligning with Engineering strategic objectives, while effectively balancing competing requirements in a dynamic Engineering environment. • Collaborate with data engineers, data scientists, ML engineers, and product engineers to ensure seamless integration and deployment of analytics and AI solutions. • Ensure data quality, security, and governance across all analytics solutions, including responsible AI practices such as model explainability, bias detection, and compliance. • Build strong relationships and influence stakeholders across the organization, particularly within Engineering functions, to gain buy-in and support for analytics and AI initiatives, and champion the adoption of AI tools and platforms to improve team productivity and decision-making. • Stay up to date on the latest technologies and trends in data, analytics, and artificial intelligence, particularly as they relate to Engineering management. Required Skills and Experience • 10+ years of hands-on experience developing analytics solutions using Snowflake, Tableau, BOXI or similar tools using Engineering data. • Hands-on experience with BOXI is a strong plus. • Demonstrated experience building, collaborating in the deployment, and maintaining ML models and/or GenAI applications in a production environment. • Experience collaborating with team working on large language models (LLMs) and prompt engineering, including integration of LLM APIs (OpenAI, Azure OpenAI, etc.) into data products. • Functional understanding and data flows of Engineering systems and processes. • Effectively communicate technical concepts — including AI model outputs and limitations — to non-technical audiences to foster understanding, influence, and build consensus across teams. • A very good team player with demonstrated ability to manage and influence without direct authority. • Strong understanding of data warehousing, data modeling, and visualization techniques. • Profound SQL knowledge and experience, including writing complex queries and optimization. • Experience leading the technical design and development of complex data products. • Previous experience integrating advanced analytics and AI solutions into business processes. Required Education and Training • Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a related field. Preferred Skills and Experience • Strong statistical background and analytical skills. • Experience working with a leading Manufacturing organization in a regulated environment. • Experience with natural language processing (NLP) and computer vision applications. • Familiarity with AI governance frameworks and responsible AI principles. Due to the nature of our business and the role, please note that Intuitive and/or your customer(s) may require that you show current proof of vaccination against certain diseases including COVID-19. Details can vary by role. Intuitive is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees, and prohibit discrimination and harassment of any type, without regard to race, sex, pregnancy, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. Mandatory Notices U.S. Export Controls Disclaimer: In accordance with the U.S. Export Administration Regulations (15 CFR §743.13(b)), some roles at Intuitive Surgical may be subject to U.S. export controls for prospective employees who are nationals from countries currently on embargo or sanctions status. Certain information you provide as part of the application will be used for purposes of determining whether Intuitive Surgical will need to (i) obtain an export license from the U.S. Government on your behalf (note: the government’s licensing process can take 3 to 6+ months) or (ii) implement a Technology Control Plan (“TCP”) (note: typically adds 2 weeks to the hiring process). For any Intuitive role subject to export controls, final offers are contingent upon obtaining an approved export license and/or an executed TCP prior to the prospective employee’s start date, which may or may not be flexible, and within a timeframe that does not unreasonably impede the hiring need. If applicable, candidates will be notified and instructed on any requirements for these purposes. We will consider for employment qualified applicants with arrest and conviction records in accordance with fair chance laws. Preference will be given to qualified candidates who do not reside, or plan to reside, in Alabama, Arkansas, Delaware, Florida, Indiana, Iowa, Louisiana, Maryland, Mississippi, Missouri, Oklahoma, Pennsylvania, South Carolina, or Tennessee. This position may be filled at a different job level than listed here depending on business need and/or on the selected candidate’s experience, knowledge and skills. Compensation will be based primarily on the job level at which the role is filled and the candidate’s qualifications, consistent with applicable law. We provide market-competitive compensation packages, inclusive of base pay, incentives, benefits, and equity. It would not be typical for someone to be hired at the top end of range for the role, as actual pay will be determined based on several factors, including experience, skills, and qualifications. The target compensation ranges are listed.

Requirements

Must-haves

Primary Function of Position
Essential Job Duties
Evaluate, prototype, and recommend AI/ML approaches (supervised, unsupervised, and generative) to solve Engineering business problems.
Manage the roadmap for analytics and data products, including AI/ML initiatives, aligning with Engineering strategic objectives, while effectively balancing competing requirements in a dynamic Engineering environment.
Collaborate with data engineers, data scientists, ML engineers, and product engineers to ensure seamless integration and deployment of analytics and AI solutions.
Ensure data quality, security, and governance across all analytics solutions, including responsible AI practices such as model explainability, bias detection, and compliance.
Stay up to date on the latest technologies and trends in data, analytics, and artificial intelligence, particularly as they relate to Engineering management.
Required Skills and Experience
10+ years of hands-on experience developing analytics solutions using Snowflake, Tableau, BOXI or similar tools using Engineering data.
Hands-on experience with BOXI is a strong plus.
Demonstrated experience building, collaborating in the deployment, and maintaining ML models and/or GenAI applications in a production environment.
Experience collaborating with team working on large language models (LLMs) and prompt engineering, including integration of LLM APIs (OpenAI, Azure OpenAI, etc.) into data products.
Functional understanding and data flows of Engineering systems and processes.
Effectively communicate technical concepts — including AI model outputs and limitations — to non-technical audiences to foster understanding, influence, and build consensus across teams.
A very good team player with demonstrated ability to manage and influence without direct authority.
Strong understanding of data warehousing, data modeling, and visualization techniques.
Profound SQL knowledge and experience, including writing complex queries and optimization.
Experience leading the technical design and development of complex data products.
Previous experience integrating advanced analytics and AI solutions into business processes.
Required Education and Training
Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, or a related field.
Strong statistical background and analytical skills.
Experience working with a leading Manufacturing organization in a regulated environment.

Nice-to-haves

Preferred Skills and Experience

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