Product Manager - AI Finance Automation

Product Manager - AI Finance Automation   
  

About You:  

You're a product specialist and business analysis professional with deep expertise in enterprise finance systems and AI product development. You're passionate about translating complex business requirements into actionable technical solutions that drive measurable outcomes. You embody our core values:  

Embrace the unknown: You thrive in ambiguous environments, asking "What's possible?" while navigating the intersection of AI capabilities, finance operations, and enterprise system constraints.  

Partner with purpose: You excel at building bridges between finance domain experts, AI developers, integration specialists, and global stakeholders to deliver business-critical solutions.  

Passion for people: You understand that successful AI products require deep empathy for end users - from finance analysts to C-suite executives - and focus on augmenting their capabilities.  

Collaborate for success: You're a natural facilitator who drives consensus across diverse, global teams while maintaining focus on delivery excellence and business impact.  

You're a proven leader in fast-paced, high-stakes environments, comfortable managing complex stakeholder relationships across time zones while delivering enterprise-grade AI products that transform business operations.  

What You'll Do:  

Within 30 Days  

• Conduct comprehensive stakeholder mapping across global finance teams, IT organizations, and executive leadership  

• Lead discovery sessions with finance domain experts to identify high-impact AI automation opportunities  

• Establish sprint cadence and delivery frameworks with AI developers, Boomi integration specialists, and SAP technical teams  

• Create initial product roadmap prioritizing business-critical finance processes with measurable ROI potential  

• Build relationships with global product counterparts and establish communication protocols for 24/7 development cycles  

• Define success metrics and KPIs for AI finance automation initiatives  

Within 60 Days  

• Own end-to-end requirements gathering and documentation for complex AI-driven finance automation workflows  

• Lead cross-functional sprint planning sessions, ensuring alignment between AI development, integration work, and business priorities  

• Facilitate design thinking workshops to translate finance pain points into technical user stories and acceptance criteria  

• Establish product governance framework including change management, risk assessment, and stakeholder approval processes  

• Drive technical feasibility assessments with AI developers and integration architects for proposed solutions  

• Create and maintain product backlogs with clear prioritization based on business impact, technical complexity, and resource availability  

• Lead regular demo sessions and feedback loops with finance stakeholders to ensure product-market fit  

Within 90 Days  

• Own delivery of first major AI finance automation product release, demonstrating measurable business impact  

• Establish center of excellence for AI product management practices, including requirements templates, testing protocols, and user acceptance frameworks  

• Lead strategic planning sessions with C-suite executives, presenting product vision, roadmap, and business case for continued investment  

• Drive adoption and change management initiatives across global finance organizations  

• Mentor junior PMs and establish scalable product management processes 

• Own vendor and technology partnership evaluations, ensuring alignment with product strategy and technical architecture  

• Lead post-implementation reviews and continuous improvement initiatives based on user feedback and performance metrics  

• Establish product analytics framework to measure user adoption, process efficiency gains, and business value realization  

Product Management Excellence:  

• A minimum of 2 years of enterprise product management or business analysis experience with proven track record of delivering complex, business-critical solutions  

• Skills in requirements gathering, user story creation, and agile product development methodologies  

• Experience with sprint planning, backlog management, and cross-functional team leadership  

• Proven ability to translate business needs into technical requirements and manage product roadmaps  

AI & Technology Acumen:  

• Understanding of AI/ML capabilities, limitations, and enterprise implementation considerations  

• Experience working with AI development teams and translating business requirements into AI use cases  

• Knowledge of enterprise integration patterns, API management, and cloud platform capabilities  

• Familiarity with data architecture, ETL processes, and real-time analytics platforms  

Leadership & Communication:  

• Ability to influence and drive consensus across senior stakeholders without direct authority  

• Excellent presentation skills with experience communicating to C-suite executives and technical teams  

• Strong facilitation skills for workshops, sprint ceremonies, and cross-functional collaboration  

• Working with global, distributed teams across multiple time zones  

Delivery Focus:  

• Track record of delivering high-impact products on time and within scope in fast-paced environments  

• Experience with risk management, issue escalation, and crisis resolution  

• Strong analytical skills with ability to make data-driven decisions and measure business impact  

• Experience with user adoption strategies and change management in enterprise environments  

Bonus Qualifications:  

• Bachelor Degree in business, finance, or technology  

• Experience in life sciences, healthcare, or regulated industries  

• Background in fintech, banking, or financial services technology  

• Knowledge of emerging AI technologies and enterprise AI governance frameworks  

• Understanding of finance operations: P2P, O2C, R2R cycles, financial reporting, budgeting, and forecasting processes  

• Knowledge of SAP finance modules (FI/CO, S/4HANA) and enterprise integration platforms (Boomi, MuleSoft, etc.)  

• Knowledge of financial compliance requirements (SOX, GAAP, IFRS) and audit processes  

• Experience with enterprise data governance, security protocols, and change management in finance organizations 

• Certifications in product management (CPM, CSPO) or business analysis (CBAP, PMI-PBA) 

The base salary range for this full-time position is $69,500.00 – $80,000.00 CAD. This range reflects the minimum and maximum target for a new hire in this position. The base pay actually offered to the successful candidate will take into account internal equity, work location, and additional factors, including job-related skills, experience, and relevant education or training. 

This range allows for the successful candidate to have an opportunity to progress within the position and develop at our company. This compensation range does not take into account other benefits which may be applicable and are dependent on the level and position offered. 

This posting is for a newly created position. Please note that Revvity does not use Artificial Intelligence (AI) to screen, assess, or select app 

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