Lead Finance Analytics, AI, and Automation initiatives across global Finance and cross-functional stakeholders
Partner across Commercial Organization Finance, Controllership, Treasury, Business Unit Finance teams, EO Finance, and key business units
Lead an organization of approximately 30–37 team members, including people managers, technical experts, and contingent workforce
Drive enterprise-scale transformation through analytics, modern data platforms, AI, and intelligent automation
Define and lead the Finance analytics, AI, and automation strategy aligned to Finance transformation priorities and business value
Build and manage a portfolio of high-impact initiatives across decision support, process optimization, forecasting, controls, and operational efficiency
Translate business priorities into a clear roadmap with measurable outcomes, delivery milestones, and adoption plans
Serve as a strategic advisor to Finance leadership on where data, AI, and automation can create meaningful value.
Lead the design, development, and scaling of advanced analytics, business intelligence, AI, machine learning, and automation solutions for Finance delivering scalable, and sustainable capabilities with high standards for solution quality, usability, reliability, and business adoption
Drive use-case prioritization, value sizing, solution design, deployment, and benefits tracking.
Partner with enterprise data and technology teams to shape modern Finance data architecture across cloud platforms, data lakes / lakehouse environments, and enterprise BI ecosystems
Ensure strong integration of structured and unstructured data from internal and external sources
Drive scalable data pipelines, semantic models, and reusable data products that enable consistent reporting and analytics
Partner with senior Finance and business leaders to identify opportunities, define requirements, and deliver analytically rigorous and pragmatic solutions
Translate complex technical concepts into clear business insights, recommendations, and executive narratives
Track and communicate business impact, including productivity gains, cycle time reduction, improved insight quality, better forecast accuracy, stronger controls, and cost savings
Influence decisions across functions and align stakeholders around priorities, tradeoffs, and outcomes
Ensure analytics, AI, and automation solutions are designed with appropriate governance, transparency, control, and auditability, including establishing processes for model oversight, data quality, access controls, solution monitoring, and lifecycle management
Operate effectively within finance, accounting, SOX, legal, privacy, and data governance requirements
Promote responsible and practical use of AI within a controlled Finance environment
Lead, coach, and develop a high-performing team of managers and technical professionals across analytics, data science, automation, and architecture
Build strong operating rhythm, delivery discipline, talent development, and succession plans
Attract, retain, and grow technical talent with a strong culture of accountability, learning, innovation, and business partnership
Foster a results-oriented environment that balances speed, quality, control, and long-term scalability.

Requirements

15+ years of experience leading analytics, data, automation, or technology-enabled transformation teams in complex global organizations
Significant leadership experience building and scaling multidisciplinary teams across analytics, data science, automation, and technical delivery
Proven track record delivering enterprise solutions that drive measurable business outcomes
Strong experience partnering with senior executives and influencing cross-functional stakeholders in matrixed environments
Experience working in Finance, Finance Transformation, FP&A, Controllership, or other finance-adjacent environments with strong understanding of financial processes and decision support needs.
Strong understanding of modern data architecture, including cloud-based data platforms, data lakes / lakehouse environments, data pipelines, and enterprise analytics ecosystems
Experience leading delivery of BI, advanced analytics, machine learning, and intelligent automation solutions at scale
Knowledge of AI / ML lifecycle management, production deployment, monitoring, and governance
Familiarity with modern tools and platforms used in analytics, visualization, data engineering, and automation
Strong understanding of data governance, controls, privacy, security, and auditability in enterprise environments
Experience working with large, complex datasets and translating them into scalable analytical products and actionable insights
Strong strategic thinking, prioritization, and execution skills
Excellent communication, executive storytelling, and stakeholder management capabilities
Proven ability to lead through ambiguity, drive change, and influence without direct authority
Strong people leadership, coaching, and organizational development skills
Practical, outcome-oriented mindset with the ability to balance technical rigor and business value.

Benefits

Health insurance
Dental insurance
Vision insurance
Long term/short term disability insurance
Employee assistance program
Flexible spending account
Life insurance
Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure
11 paid holidays
Additional flexible paid vacation and sick leave

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

analyticsAIautomationdata architecturebusiness intelligencemachine learningdata pipelinesdata lakesdata governancefinancial processes

Soft Skills

leadershipstrategic thinkingcommunicationstakeholder managementcoachingorganizational developmentinfluencingprioritizationexecutionresults-oriented mindset