Senior Manager of Finance Analytics & AI

Requirements

• 8+ years of experience in analytics, data engineering, BI, or related fields, with 2+ years in a people management role
• Deep expertise in SQL and building scalable, production-grade data models
• Experience with modern cloud data platforms, such as Snowflake, Big Query, or Redshift
• Strong proficiency in Python, or similar programming languages, for data transformation, automation, or application development
• Experience building data products, not just dashboards, including tools, apps, or workflows used in business operations
• Demonstrated experience applying AI/LLMs, such as Cortex, OpenAI, Claude, or similar technologies, to real business problems
• Strong stakeholder management and communication skills, with the ability to influence senior leaders
• Experience supporting Finance organizations
• (Desirable) Experience with ERP, financial planning, or business planning systems
• (Desirable) Background supporting finance, business operations, or analytics teams
• (Desirable) Familiarity with agile development practices

• Builder + leader mindset:
  You can set strategy while staying close to the work
• Product orientation:
  You think in terms of user adoption, usability, and impact—not just delivery
• 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
• AI-forward:
  You actively explore and apply emerging AI capabilities to unlock new ways of working
• User obsession:
  You deeply understand stakeholder needs and design solutions that truly improve their workflows

• We’re looking for a Senior Manager to lead Finance Analytics - redefining how Finance leverages data, automation, and AI to operate s 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
• 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
• 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
• 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
• Partner with Data Engineering to ensure high-quality, well-modeled, and governed datasets
• Establish standards for data quality, documentation, and discoverability
• Deliver actionable insights and shape strategic decisions through data
• Act as a thought partner to Finance leadership, bringing a data-driven perspective
• Identify inefficiencies and drive system- and process-level improvements
• Implement scalable solutions over one-off analyses