Senior Manager AI and Analytics - Finance

About the job

Job Description

Roles and Responsibilities: The Senior Manager AI and Analytics - Finance provides the Enterprise Analytics team an anchor that will partner with Finance leadership at Intuitive to strategize, design, and mature analytical and AI capabilities. This individual owns the AI product roadmap for Finance and serves in an AI product management capacity on ongoing initiatives, while also guiding, owning, and overseeing financial data products in support of our Finance organization. The role leads a direct team spanning analytics engineering (architects and analysts) and AI product management, and holds dotted-line leadership over the Finance data engineering team. The role will work directly with Finance leadership, enterprise data architects, data engineering, and external service providers to ensure that new capabilities meet the needs of the business. Key Responsibilities: • Lead analytics portfolio by managing relationship with Finance business partners (needs, intake & prioritization, (re)planning), conducting regular reviews, ensuring key projects are tracked, defining objectives and KPIs, maintaining stakeholder alignment, and proactively managing risk to quality, schedule, and budget • Own and drive the AI product roadmap for Finance, prioritizing and sequencing AI/ML initiatives in partnership with Finance and IT leadership • Serve as AI product manager on active initiatives, translating business needs into AI-enabled solutions and driving them from concept through delivery • Lead and develop a direct team comprised of analytics engineering (architects and analysts) and AI Product Managers; provide dotted-line leadership to the Finance data engineering team, aligning priorities and ways of working across both groups • Drive resource allocation and budget management decisions by synthesizing operational and financial data to optimize team capacity and investment priorities. • Design and implement scalable processes, frameworks, and tooling that improve coordination and operational efficiency across analytics and data engineering teams. • Establish and maintain a portfolio governance framework that provides transparency into progress, risks, and value delivery across all active workstreams. • Champion knowledge sharing and adoption by creating clear documentation, playbooks, and communication channels that enable Finance and cross-functional teams to self-serve on analytics capabilities • Present to, and facilitate, decisions among senior leaders and executives based on evolving priorities. • Collaborate with insights architects and data engineering to design data standards and data products that support the business organizations • Drive standardization of key metrics across various business stakeholders to improve data governance maturity • Define and track measurable ROI and business impact for AI/ML initiatives, ensuring Finance leadership has clear visibility into the value delivered by analytics investments. • Stay current on emerging AI/ML technologies, tools, and best practices, and evaluate their applicability to Finance use cases to maintain a competitive and forward-looking roadmap.

• Foster a culture of experimentation, continuous learning, and data literacy within the Finance organization. • Manage vendor and external service provider relationships, including contract oversight, performance evaluation, and alignment with internal delivery standards