Director of Finance Data & Analytics

Description

• Oversee the documentation and optimization of finance-related data architecture, identifying opportunities to scale IT infrastructure for broader business and financial transformation.
• Stay ahead of emerging trends in data analytics and automation, proactively identifying opportunities to enhance finance’s analytical maturity and digital capabilities.
• Provide oversight between business units and finance, ensuring operational data is translated into meaningful financial insights.
• Identify data gaps and coordinate with IT, finance, and business stakeholders to improve data quality, governance, and accessibility.
• Lead cross-functional alignment on key performance metrics and reporting standards, ensuring consistency, transparency, and strategic relevance across business units and corporate functions.
• Collaborate with IT and the Data & Analytics Center of Excellence to leverage existing data platforms (Databricks) while tailoring solutions for finance-specific needs.
• Act as enterprise subject matter expert to multiple stakeholder groups, ensuring financial leaders and business partners can effectively leverage the organization’s data and technology investments.
• Support finance-driven data science and automation initiatives, providing the foundational data models and insights needed for advanced analytics and RPA.
• Drive the strategic development of scalable, enterprise-wide leadership dashboards and reporting ecosystems (e.g., Power BI), ensuring alignment with organizational priorities and executive decision-making needs.
• Serve as a subject matter expert for data analysis within finance
• Lead the design and implementation of enterprise automation framework
• Champion the integration and data transformation from various structured and unstructured sources, ensuring finance has clean, reliable data for analysis.

Requirements

• Experience integrating multiple ERP, CRM, or operational data sources into a single analytics layer.
• Understanding of data governance and master data management principles.
• Project management skillsets
• Ability to work with cross-functional stakeholders to translate business requirements into technical solutions.
• Familiarity with machine learning concepts (regression, classification, applied statistics) to support data science initiatives.
• Background in process automation or workflow optimization.
• Experience in data manipulation and transformation using SQL or similar query languages.
• 3+ years of experience with data lakes, AI tools (SAP, Oracle, Palantir, etc.), Power BI and similar
• Strong proficiency with Power BI (or similar BI tools) for creating scalable, professional dashboards.
• Understanding of data warehouses, relational databases, and ETL concepts.
• Preferred Bachelor’s degree in Data Analytics, Information Systems, Computer Science, Finance, Business Analytics, or a related field with 8+years of experience or associates degree with 10+ years of experience or 12+ years of experience.
• Experience building machine learning models
• 3+ years of experience working with large data sets, data modeling, and visualization tools.
• Exposure to Microsoft Co-Pilot, RPA tools, or chatbot frameworks.
• Experience with Python for data wrangling or light analytics.
• Working knowledge of Databricks, Azure SQL databases, or other cloud-based data environments.

Benefits

• Work Life Support
• Voluntary programs like tobacco cessation, Type 2 diabetes reversal, one-on-one health coaching, mortgage services and more
• Employer paid short-term and long-term disability including maternity leave
• Paid time off
• Employer paid life insurance
• 401k retirement plan with company match
• Healthcare (medical, prescription drugs, dental and vision)
• Tuition Reimbursement up to $5,250 per year

Training + Development

Interview process

Visa Sponsorship

Security clearance