Develop and execute comprehensive financial data strategy aligned with organizational objectives
Serve as primary liaison between finance and business units for data and analytics requirements while providing strategic consultation on data and recommendations
Present analytics findings and strategic recommendations to business leaders
Establish and maintain strong relationships with internal customers to ensure solution alignment with business needs
Lead the democratization of financial data across all business units and stakeholder groups
Establish frameworks for data management, security, and accessibility
Drive cultural transformation toward data-driven, scalable, and sustainable solutions in finance
Design and deliver projects focused on eliminating manual work through process excellence and intelligent automation
Identify repetitive finance processes suitable for robotic process automation (RPA) and workflow optimization
Measure and report on productivity gains achieved through automation initiatives
Establish continuous improvement frameworks for ongoing process enhancement
Lead initiatives to connect and standardize data flow across the finance organization
Establish best practices and standards for advanced analytics development, validation, and monitoring
Develop advanced analytics capabilities including predictive modeling, scenario analysis, and statistical forecasting
Oversee the development process and product management of enterprise data visualization platforms and self-service analytics tools
Drive adoption of next-generation analytics including real-time dashboards, interactive reporting, and mobile-enabled insights
Provide central intelligence and development support for solutions across finance functions
Establish best practices and standards for advanced analytics development, validation, and monitoring
Lead evaluation and deployment of AI tools for finance process optimization
Collaborate closely with Digital Technology (DT) teams to identify, evaluate, and implement advanced analytics tools and platforms
Coordinate technology roadmaps to ensure seamless integration of finance systems with enterprise data architecture
Champion the adoption of emerging technologies including cloud-based analytics, machine learning platforms, and real-time data processing tools
Oversee vendor relationships and technology partnerships that support finance analytics capabilities

Requirements

Bachelor or master’s degree in finance, Data Science, Analytics, Engineering, or related quantitative field; MBA preferred
Minimum 10 years of progressive experience in finance, data analytics, or related fields
5+ years in senior leadership roles managing large-scale data and analytics initiatives
Proven track record leading digital transformation projects in finance or related functions
Deep understanding of financial systems, processes, and reporting requirements
Advanced proficiency in data analytics tools
Experience with modern data platforms
Knowledge of machine learning algorithms and AI implementation in context of business outcomes
Familiarity with visualization tools (Tableau, Power BI, Qlik, etc.) and understanding of automation technologies (RPA, workflow management, API integration)

Benefits

Health insurance
401(k) matching
Paid time off
Flexible work arrangements
Professional development opportunities
Bonus eligibility: discretionary annual bonus
Tuition assistance
Adoption assistance
Paid parental leave
Disability benefits
Life insurance
12 paid holidays
Restoration Plan

Applicant Tracking System Keywords

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

Hard Skills & Tools

data strategydata managementpredictive modelingscenario analysisstatistical forecastingrobotic process automationautomation technologiesdata analytics toolsmachine learning algorithmsadvanced analytics

Soft Skills

strategic consultationrelationship managementleadershipcommunicationcollaborationprocess excellencecontinuous improvementcultural transformationproblem-solvingproject management

Certifications

Bachelor's degree in financeMaster's degree in Data ScienceMBA