Senior Manager AI and Analytics - Finance

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

Qualifications

Education • Bachelor's degree in Computer Science, Information Systems, Business Management, Data Science, or a related field — or equivalent work experience • Master's degree preferred Experience • 7+ years of progressive experience in analytics, business intelligence, data warehousing, or data product management • 3+ years leading and developing teams of analytics, AI, or technical professionals (direct or matrixed/dotted-line) • Proven track record managing large portfolios of analytics and AI initiatives across multiple stakeholders and competing priorities • Experience delivering AI/ML-enabled solutions from concept through production, including defining use cases, success criteria, and business value • Deep domain expertise in Finance (FP&A, accounting, controllership, or treasury); experience in Sales or Marketing is a plus Technical Knowledge • Familiarity with modern data platforms (e.g., Snowflake), ERP systems (e.g., SAP S/4HANA), and CRM platforms (e.g., Salesforce) • Working knowledge of AI/ML tools and platforms (e.g., Claude, Azure AI Document Intelligence, or similar) • Experience with analytics and visualization tools (e.g., Tableau, Power BI) • Understanding of software development methodologies (Agile, SDLC) and project/service management tools (e.g., Jira, ServiceNow) Leadership & Soft Skills • Strong executive communication skills — able to translate complex technical concepts into business language for senior leaders • Demonstrated ability to influence without direct authority across cross-functional…