Manager / Senior Manager of Finance Analytics & Artificial Intelligence

• We’re looking for a Manager/ Sr. Manager to lead Finance Analytics—redefining how Finance leverages data, automation, and AI to operate at scale. This role sits at the intersection of analytics engineering, data product development, and applied AI, and is responsible for building both the team and the systems that power next-generation Finance
• You won’t just deliver dashboards—you’ll lead the development of scalable data products, intelligent workflows, and AI-driven applications that transform how Finance operates, makes decisions, and drives efficiency
• This is a highly cross-functional leadership role requiring a balance of strategy, execution, and people leadership. You’ll partner closely with Finance, business stakeholders, and Engineering to translate ambiguity into durable, production-grade solutions
• Set vision and lead execution
• Define and drive the roadmap for Finance Analytics, aligned to business priorities and long-term data strategy
• Translate ambiguous business problems into scalable data products, AI solutions, and automation initiatives
• Build and lead a high-performing team
• Hire, develop, and mentor a team of analysts, analytics engineers, and data product builders
• Establish best practices across data modeling, experimentation, and product development
• Foster a culture of ownership, speed, and continuous learning
• Own data products end-to-end
• Oversee the design, development, and adoption of data products, dashboards, and internal applications used to run Finance
• Ensure solutions are scalable, reliable, and deeply embedded in business workflows
• Drive AI-powered transformation
• Lead the development of intelligent workflows, such as automation, copilots, agents, and decision-support tools, that increase leverage across Finance
• Identify high-impact opportunities to apply AI and automation to core financial and operational processes
• Strengthen the data foundation
• Partner with Data Engineering to ensure high-quality, well-modeled, and governed datasets
• Establish standards for data quality, documentation, and discoverability
• Influence decision-making at scale
• Deliver actionable insights and shape strategic decisions through data
• Act as a thought partner to Finance leadership, bringing a data-driven perspective
• Champion operational excellence
• Identify inefficiencies and drive system- and process-level improvements
• Implement scalable solutions over one-off analyses

Benefits

• Comprehensive health insurance plans
• Health savings accounts
• Robust retirement plans
• Life and disability insurance
• Weekly online lunch and learns
• Virtual workout classes
• Ergonomic work-from-home equipment
• On-demand mental health and wellness programs
• Fertility benefits and family planning resources
• Generous time-off and various leave plans
• Onsite and Remote Work
• Employee discounts and pre-tax selections
• New hire equity + Employee Stock Purchase Plan (ESPP)
• Quarterly bonus or commission program- Strong stakeholder management and communication skills, with the ability to influence senior leaders
• Deep expertise in SQL and building scalable, production-grade data models
• 8+ years of experience in analytics, data engineering, BI, or related fields, with 2+ years in a people management role
• Demonstrated experience applying AI/LLMs, such as Cortex, OpenAI, Claude, or similar technologies, to real business problems
• Experience building data products, not just dashboards, including tools, apps, or workflows used in business operations
• Experience supporting Finance organizations
• Strong proficiency in Python, or similar programming languages, for data transformation, automation, or application development
• Experience with modern cloud data platforms, such as Snowflake, BigQuery, or Redshift
• Systems thinker: You design scalable, reusable solutions that stand the test of time
• Bias for action: You move quickly, iterate, and prioritize impact over perfection
• Builder + leader mindset: You can set strategy while staying close to the work
• AI-forward: You actively explore and apply emerging AI capabilities to unlock new ways of working
• Product orientation: You think in terms of user adoption, usability, and impact—not just delivery
• User obsession: You deeply understand stakeholder needs and design solutions that truly improve their workflows
• Experience with ERP, financial planning, or business planning systems
• Familiarity with agile development practices
• Background supporting finance, business operations, or analytics teams