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Job Details

Skills

Agile
Amazon Web Services
Artificial Intelligence
Budget
Corporate Finance
Financial Forecast
Finance
FP&A
Decision-making
Generative Artificial Intelligence (AI)
Financial Software
Financial Planning
Forecasting
Machine Learning (ML)
PMP

Summary

Position Overview

We are seeking an experienced Project Manager to drive the successful delivery of AI-powered initiatives for one of our clients @ Chicago, IL. This role will partner with Finance, Data Engineering, Analytics, and AI teams to define strategy, lead execution, and implement intelligent solutions that improve financial forecasting, budgeting, planning, reporting, and decision-making.

The ideal candidate has a strong background in enterprise technology delivery, AI/GenAI adoption, digital transformation, and financial systems. They should be comfortable engaging executive stakeholders while leading cross-functional teams to deliver scalable AI solutions in production. This aligns well with experience leading enterprise AI and analytics initiatives supporting Finance and FP&A, AI governance, MLOps/LLMOps, and executive technology strategy.

Key Responsibilities

Lead AI and digital transformation initiatives supporting the Financial Planning & Analysis organization.
Partner with Finance leadership to identify high-value AI use cases for budgeting, forecasting, financial reporting, variance analysis, and planning.
Develop and execute AI product roadmaps aligned with business objectives.
Collaborate with Data Engineering, Data Science, and Analytics teams to deliver AI, Machine Learning, Generative AI, and Agentic AI solutions.
Drive end-to-end program delivery from business case through production deployment.
Establish governance, delivery frameworks, KPIs, risk management, and executive reporting.
Lead cross-functional Agile teams consisting of Product Managers, Engineers, Data Scientists, Architects, and Business Analysts.
Ensure responsible AI implementation through governance, security, compliance, and MLOps/LLMOps best practices.
Build executive dashboards and provide portfolio visibility for leadership.
Identify opportunities to automate finance processes using AI and intelligent agents.
Manage vendor relationships, budgets, project planning, and resource allocation.
Champion Agile delivery methodologies and continuous improvement across programs.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, Information Systems, Finance, or a related field.
12+ years of experience leading enterprise technology programs or digital transformation initiatives.
5+ years of experience delivering AI, Machine Learning, or Generative AI programs.
Experience partnering with Finance or FP&A organizations on enterprise initiatives.
Strong understanding of AI/ML lifecycle, Generative AI, Agentic AI, and enterprise AI governance.
Experience leading large cross-functional programs using Agile methodologies.
Excellent executive communication and stakeholder management skills.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Strong understanding of data platforms, analytics, and enterprise reporting.
Proven ability to manage budgets, roadmaps, vendor relationships, and strategic initiatives.

Preferred Qualifications

Experience implementing AI solutions for Financial Planning, Controllership, or Corporate Finance.
Knowledge of predictive forecasting, financial analytics, and intelligent automation.
Experience with Databricks, modern data platforms, and enterprise analytics.
Familiarity with MLOps, LLMOps, Responsible AI, and AI governance frameworks.
PMP, Agile, Scrum, or SAFe certifications.
MBA or Master's degree in Business, Finance, Computer Science, or a related discipline.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10132070
Position Id: 9034915
Posted 8 hours ago

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