Program Manager - Connected Planning & Analytics

Adobe•San Jose, CA

1d•$110,000 - $202,250

About The Position

The Opportunity We need your help to connect people, process, and data in the era of AI! As a member of Adobe’s Connected Planning Center of Excellence, you will bridge project management, data analysis, and solution design to improve how we plan, forecast, and make decisions. You will partner across FP&A, Finance Systems, HR, IT, and business teams to turn complex challenges into scalable interconnected solutions, strengthen data governance, and advance AI-driven innovation.

Requirements

4+ years of relevant experience in program management, financial analysis, data analysis, business systems, or process automation.
Bachelor’s degree or equivalent experience in Finance, Accounting, Information Systems, Data Analytics, or a related field.
Strong knowledge of financial and workforce-planning processes, preferably including revenue, expenses, headcount, compensation, or profitability.
Demonstrated ability to analyze complex data and translate findings into clear business recommendations.
Strong Microsoft Excel proficiency; experience with SQL, Python, Databricks, Anaplan, Tableau, or Power BI is a plus.
Experience taking ambiguous business problems from analysis through proof of concept and scalable solution design.
Experience with AI, machine learning, forecasting, or intelligent automation is valued.
Strong stakeholder-management, problem-solving, and written and verbal communication skills.
Meticulous attention to detail and a bias toward innovation and measurable outcomes.

Responsibilities

Transform our processes by employing AI across our project management, data analysis, quality control, governance, and solutions design
Design and improve planning processes for use cases across finance and workforce planning use cases, from requirements gathering and analysis through solution delivery and adoption.
Perform complex data analysis to evaluate forecasting accuracy, automation efficiency, and opportunities for improvement.
Test solutions to ensure quality, accuracy, and alignment with business requirements.
Strengthen governance for data sources, definitions, calculations, assumptions, and model outputs.
Partner closely with customers to prioritize opportunities, drive enablement and adoption, and promote best practices.