Senior Manager AI and Analytics - Finance

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  Bachelors degree in Computer Science, Information Systems, Business Management, Data Science, or a related field - or equivalent work experience  Masters 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 teams and senior stakeholders  Skilled at translating business needs into technical roadmaps and driving alignment between business and technology teams  Strong vendor management capabilities, including oversight of external service providers and delivery partners Additional Information 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. 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.