Product Manager Intern – AI Finance Automation

🔥 16 hours ago

🇨🇦 Canada – Remote

💵 $34 - $38 / hour

⏰ Full Time

⚪️ Entry-level

✅ Product Manager

🚫👨‍🎓 No degree required

👻 Ghost score 1%

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Revvity

WebsiteLinkedInAll Job Openings

10,000+ employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Revvity is a science-based solutions company that leverages innovation across life sciences and diagnostics to improve lives everywhere. The company serves a diverse customer base, including academia, pharma/biotech, clinical laboratories, and healthcare professionals. Its extensive range of products and services includes genomic analysis, clinical diagnostics, cell and gene therapy, drug discovery, precision medicine, and advanced automation solutions. Revvity is committed to empowering scientists with cutting-edge tools and comprehensive solutions to enhance research and development, diagnostics, and clinical testing. With a focus on accelerating time to market while ensuring quality, Revvity is dedicated to revolutionizing next-generation breakthroughs in healthcare and life sciences.

📋 Description

• 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 • 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 • 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 • 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

🎯 Requirements

• 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 • 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 • 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 • 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 • Bachelor Degree in business, finance, or technology (bonus qualification) • Experience in life sciences, healthcare, or regulated industries (bonus qualification) • Background in fintech, banking, or financial services technology (bonus qualification) • Knowledge of emerging AI technologies and enterprise AI governance frameworks (bonus qualification) • Understanding of finance operations: P2P, O2C, R2R cycles, financial reporting, budgeting, and forecasting processes (bonus qualification) • Knowledge of SAP finance modules (FI/CO, S/4HANA) and enterprise integration platforms (Boomi, MuleSoft, etc.) (bonus qualification) • Knowledge of financial compliance requirements (SOX, GAAP, IFRS) and audit processes (bonus qualification) • Experience with enterprise data governance, security protocols, and change management in finance organizations (bonus qualification) • Certifications in product management (CPM, CSPO) or business analysis (CBAP, PMI-PBA) (bonus qualification)