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Senior Manager AI and Analytics - Finance
Intuitive
Sunnyvale, USA
Full-time
Senior · 30+ years experience
Onsite
Discovered 5 days ago
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Key Skills for This Role
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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 A
- 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
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.
- 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
- 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
About Intuitive
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