Finance Manager-AI Implementation and Process Optimization

Overview Build the Future At McGraw Hill, we are dedicated to delivering digital learning experiences that transform education for learners and educators. Our focus is on creating seamless, impactful products that truly benefit our users while supporting growth and collaboration across teams. We foster a culture that values innovation, teamwork, and a balance between career growth and personal well‑being. McGraw Hill conducts business through four operating segments: K-12, Higher Education, Global Professional, and International. How can you make an impact? The K-12 Finance team is seeking a forward‑thinking Finance Manager to lead the integration of artificial intelligence (AI) technologies into our financial operations while driving cost savings and operational efficiencies. This role combines expertise in finance with a strong understanding of AI tools and strategies to optimize processes, improve decision‑making, and enhance overall financial performance. This role does not include direct reports. This is a remote position open to applicants authorized to work for any employer within the US. What You’ll Do: AI Integration: Identify opportunities to implement AI‑driven solutions in financial forecasting, budgeting, risk management, and reporting. Process Optimization: Use AI tools to streamline workflows, automate repetitive tasks, reduce operational costs, and improve data accuracy. Cost Savings Initiatives: Develop and implement strategies leveraging AI to identify inefficiencies, reduce waste, and optimize resource allocation. Data Analysis: Leverage AI‑powered analytics to extract actionable insights from financial data, supporting strategic decision‑making and cost reduction efforts. Project Management: Oversee AI‑related projects, including vendor selection, implementation timelines, and cross‑department collaboration. Compliance and Risk Management: Ensure AI applications adhere to regulatory standards and mitigate risks associated with automation. Training and Development: Educate finance teams on AI tools and best practices, fostering a culture of innovation and continuous learning. Performance Monitoring: Evaluate the effectiveness of AI solutions and process improvements, recommending adjustments to maximize ROI and efficiency gains. Budgeting and Forecasting: Organize and manage the annual budgeting process and assist with forecasting throughout the year. Ensure alignment with organizational goals and identify potential financial risks and opportunities. Financial Analysis: Perform in-depth financial analysis to evaluate key performance metrics, profitability, and operational efficiency. Provide actionable insights to senior management for decision‑making. Cross‑functional Collaboration: Work closely with other departments to provide financial guidance and support decision‑making across the organization. Partner with teams to ensure accurate financial planning and resource allocation. Reporting and Presentation: Prepare regular and ad‑hoc financial reports, dashboards, and presentations for stakeholders. Present complex financial data in a simplified, understandable way. What you bring: 5‑7 years of professional experience Proven experience in financial management, with a focus on technology integration and cost‑saving initiatives. Familiarity with AI tools and platforms (e.g., machine learning, predictive analytics, robotic process automation). Strong analytical skills and the ability to interpret complex data sets to identify savings opportunities. Excellent communication and leadership abilities to manage cross‑functional teams. Knowledge of regulatory requirements and ethical considerations in AI implementation. Familiarity with financial reporting and analysis software and ERP systems (e.g., TM1, Tableau). Strong attention to detail. Nice to have: CPA, CFA, or other relevant professional certifications preferred. Extensive experience in financial modeling, scenario analysis, and advanced Excel skills; proficiency in financial planning software (e.g., Adaptive Insights, Anaplan) desirable. Experience with platforms such as Tableau, Python, or R for financial modeling and efficiency analysis. Understanding of cloud‑based financial systems and data security protocols. Certification in AI, process improvement (e.g., Lean Six Sigma), or data analytics is a plus. Why work for us? The pay range for this position is between $100,000 – $120,000 annually. Base pay offered may vary depending on job‑related knowledge, skills, experience, and location. An annual bonus plan may be provided as part of the compensation package, in addition to a full range of medical and other benefits. #J-18808-Ljbffr McGraw Hill