Required/Minimum Qualifications (RQs/MQs)

• Bachelor's Degree AND 8+ years experience in product management or cloud ERP software companies, or financial applications for the enterprise.

• Strong experience with the finance domain and a deep understanding of the related processes in ERP.

• Experienced Product Manager with customer collaboration and design focus when creating products.

• Excellent communication, presentation, and interpersonal skills, plus the ability to communicate complex customer concepts clearly and persuasively across different audiences and at varying levels of the organization.

Additional or Preferred Qualifications (PQs)

• Dynamics 365 Finance knowledge or industry leading accounts payable solutions.

• Experience using Large Language Models in financial applications.

• Good knowledge of AI , Anaytics and Automation, and how it can be applied to Finance domain

• Demonstrated product thought leadership with experience in establishing effective relationships and presenting to customers, partners and industry analysts.

• A solid technology understanding of cloud-deployed business solutions.

• Product Leadership: Define and drive the end-to-end product vision, roadmap, and execution for AI-powered Accounts Payable and Invoice Capture experiences in Dynamics 365 Finance.

• AI-First Innovation: Lead the development of intelligent agents and automation capabilities that enable touchless invoice processing, data extraction, and validation using LLMs and generative AI.

• LLM Strategy & Execution: Define how large language models (LLMs) will be embedded across AP workflows, including success metrics, experimentation plans, and business value realization.

• Customer-Centric Design: Collaborate with customers, partners, data and internal stakeholders to deeply understand finance scenarios and design AI-driven solutions that deliver measurable impact.

• Strategic Planning: Analyze market trends, competitive landscape, and customer feedback to shape product strategy and identify differentiators in the AI and ERP space.

• Cross-Functional Collaboration: Partner with engineering, data science, design, marketing, and field teams to deliver scalable, high-quality AI solutions.

• Experimentation & Evaluation: Work with engineering and data science teams to run experiments, evaluate model performance, and iterate on AI features across the AP lifecycle.

• Service Health Ownership: Monitor and improve the health, reliability, and scalability of AI-powered services in your area, collaborating closely with engineering and support teams.

• Customer Advocacy: Engage directly with customers to understand their business processes, gather feedback, and translate insights into product improvements.

• Thought Leadership: Represent Microsoft in customer engagements, industry forums, and internal reviews as a subject matter expert in finance and AI transformation.

• Community Enablement: Support customer readiness through documentation, blogs, presentations, and collaboration with support and field teams.

• Inclusive Culture & Growth Mindset: Foster a diverse, inclusive, feedback-driven environment where learning, experimentation, and innovation thrive.