Financial Planning and Analysis Manager

Coreforce is an innovative technology company providing public safety organizations a comprehensive technology suite from dispatch to the courtroom. Our products—body cameras, in-car videos, mobile routers, and digital evidence systems—help public safety officers and first responders save lives, strengthen community trust, and enhance accountability.

Why Join Us

This is an opportunity to help build a best-in-class Finance organization. You will work directly with executive leadership, influence strategic decisions, and lead the adoption of modern AI and automation capabilities that will shape the future of Finance. If you're passionate about combining deep financial expertise with cutting-edge technology to create business value, we'd love to hear from you. Join Coreforce and use your finance skills to support innovative technology that strengthens communities.

Why You’ll Love Working Here

• Flexible hybrid schedule
• Free chef-inspired lunch Monday–Thursday
• 15 PTO days + floating holiday
• Competitive benefits: medical, dental, vision, 401(k) with 100% match up to 4%
• Annual bonus
• Tuition reimbursement
• Career growth in a fast-growing, mission-driven company
• Collaborative, purpose-driven culture

Responsibilities

We are seeking a highly analytical, strategic, and technology-forward FP&A Manager to lead financial planning, forecasting, modeling, and strategic analysis for our growing SaaS and Hardware-as-a-Service (HaaS) organization. This individual will serve as a trusted advisor to the CFO and executive leadership team, providing financial insights that drive profitable growth, improve operational performance, and support strategic decision-making. The ideal candidate combines exceptional financial modeling expertise with a passion for leveraging AI, automation, and modern analytics to transform finance into a highly efficient, data-driven business partner.

Financial Planning & Analysis

• Lead the annual operating plan, quarterly forecasting process, long-range planning, and monthly financial reviews
• Own company-wide budgeting, forecasting, and financial planning processes
• Develop monthly, quarterly, and annual executive reporting packages
• Perform detailed variance analysis against budget, forecast, prior year, and strategic plan
• Develop financial insights that improve operational performance and support executive decision-making
• Partner closely with Accounting to ensure consistency between financial reporting and forecasting

Strategic Financial Modeling (Expert-Level)

• Serve as the organization's financial modeling expert
• Build and maintain sophisticated three-statement financial models with scenario, sensitivity, and driver-based forecasting capabilities
• Develop detailed ARR, MRR, churn, CAC, LTV, bookings, and cohort analysis models
• Model hardware deployment economics, inventory investments, leasing structures, warranty exposure, and margin optimization
• Support strategic initiatives including pricing analysis, capital allocation, market expansion, financing activities, and M&A evaluations
• Conduct ad hoc analyses to support executive decision-making

AI, Automation & Finance Transformation

• Leverage AI tools to improve forecasting accuracy and financial analysis
• Develop AI-assisted forecasting methodologies using historical data, operational drivers, and predictive analytics
• Utilize generative AI to accelerate financial reporting, executive summaries, board presentations, and business analyses
• Design automated reporting workflows that reduce manual effort and improve reporting speed
• Evaluate emerging AI technologies and recommend solutions that improve Finance productivity
• Create standardized AI prompts, workflows, and best practices for the Finance team
• Identify repetitive finance activities suitable for automation
• Partner with IT and Business Systems to integrate AI capabilities into Finance processes
• Develop predictive analytics supporting revenue growth, customer retention, and operational efficiency
• Utilize AI to identify trends, anomalies, financial risks, and business opportunities
• Improve forecast accuracy through machine learning concepts and advanced statistical techniques where appropriate
• Champion responsible AI governance by ensuring data quality, transparency, and financial accuracy
• Stay current on emerging AI technologies and continuously identify opportunities to modernize the Finance organization

Systems & Business Intelligence

• Improve financial reporting processes through automation
• Build scalable Power BI dashboards and executive scorecards
• Develop self-service reporting capabilities
• Partner with Accounting to improve ERP reporting
• Improve financial data quality and governance
• Optimize planning systems and reporting tools
• Build automated reporting processes that minimize manual spreadsheet work

Qualifications

• Bachelor's degree in Finance, Accounting, Economics, or related discipline
• 5 - 8+ years of progressive FP&A, Corporate Finance, Investment Banking, Strategic Finance, or Financial Consulting experience
• Experience within SaaS, HaaS, technology, subscription, or high-growth businesses
• Advanced Microsoft Excel expertise
• Expert financial modeling skills
• Strong understanding of financial statements and GAAP
• Exceptional analytical and problem-solving abilities
• Excellent written and verbal communication skills

Preferred Qualifications

• MBA and/or CPA
• Experience in private equity-backed companies
• Experience with NetSuite
• Experience with Power BI or Tableau
• Experience with Adaptive Planning, Anaplan, or similar FP&A platforms
• SQL, Python, or Power Query experience
• Experience working with ERP implementations
• Experience supporting acquisitions and integrations

AI & Technology Qualifications

Candidates should demonstrate experience leveraging modern AI and analytics tools in a professional Finance environment.

• ChatGPT Enterprise, Microsoft Copilot, Claude, or Gemini
• AI-enabled forecasting platforms
• Power Automate
• Workflow automation platforms
• API integrations
• Business Intelligence platforms
• Predictive analytics
• Data visualization
• Prompt engineering for business applications
• AI governance and responsible use of artificial intelligence