Company DescriptionAt Intuitive, we are united behind our mission: we believe that minimally invasive care is life-enhancing care. Through ingenuity and intelligent technology, we expand the potential of physicians to heal without constraints.As a pioneer and market leader in robotic-assisted surgery, we strive to foster an inclusive and diverse team, committed to making a difference. For more than 25 years, we have worked with hospitals and care teams around the world to help solve some of healthcare's hardest challenges and advance what is possible.Intuitive has been built by the efforts of great people from diverse backgrounds. We believe great ideas can come from anywhere. We strive to foster an inclusive culture built around diversity of thought and mutual respect. We lead with inclusion and empower our team members to do their best work as their most authentic selves.Passionate people who want to make a difference drive our culture. Our team members are grounded in integrity, have a strong capacity to learn, the energy to get things done, and bring diverse, real world experiences to help us think in new ways. We actively invest in our team members to support their long-term growth so they can continue to advance our mission and achieve their highest potential.Join a team committed to taking big leaps forward for a global community of healthcare professionals and their patients. Together, let's advance the world of minimally invasive care.Job DescriptionPrimary Function of the PositionWe are seeking an experienced Supply Chain Planning Analytics Architect to lead the design and implementation of our advanced analytics and data product architecture, while also playing a key role in integrating these capabilities into our business processes. The ideal candidate will have a seasoned background in developing analytics solutions using ERP data, preferably SAP, 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 and will be able to effectively translate business requirements into scalable and performant technical solutions. This role requires the ability to influence and collaborate across teams, even without direct authority, to ensure successful implementation and adoption of analytics solutions.Essential Job Duties
- Work closely with business stakeholders across supply chain functions to understand their analytics needs and translate them into scalable and performant technical solutions.
- Effectively manage competing requirements in a dynamic supply chain environment, ensuring alignment with strategic priorities.
- Lead the design and development of complex analytics and data products that address supply chain challenges and opportunities.
- Manage the roadmap for analytics and data products, aligning with supply chain strategic goals.
- Collaborate with data engineers, data scientists, and product engineers to ensure seamless integration and deployment of analytics solutions.
- Ensure data quality, security, and governance across all analytics solutions.
- Build relationships and influence stakeholders across the organization, particularly within supply chain functions, to gain buy-in and support for analytics initiatives.
- Drive the integration of advanced analytics into key supply chain processes, working closely with process owners to identify opportunities, prioritize initiatives, and implement solutions.
- Stay up to date on the latest technologies and trends in data and analytics, particularly as they relate to supply chain management.
QualificationsRequired Skills and Experience
- Minimum 10+ years of hands-on experience developing analytics solutions using Snowflake, Tableau, or similar tools using ERP data, preferably SAP.
- Functional understanding and data flows of supply chain systems and processes.
- Effectively communicate technical concepts to non-technical audiences to foster understanding, influence and build consensus across teams.
- Demonstrated ability to manage and influence without direct authority.
- Seasoned understanding of data warehousing, data modeling, and visualization techniques.
- Profound SQL knowledge and experience, including writing complex queries, optimization.
- Experience leading the technical design and development of complex data products.
- Previous experience integrating advanced analytics into business processes.
Required Education and Training
- Minimum Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field.
Preferred Skills and Experience
- Well-versed statistical background and analytical skills, with a degree in Statistics, Data Science, or a related field.
Working Conditions
#LI-HybridAdditional InformationDue 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 Employment Opportunity / Affirmative Action 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.EEO and AA PolicyWe 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.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 salary ranges are listed.