Senior Product Manager, AI & Data Analytics Platform

CaseWare International Inc.; Toronto; Hybrid; CAD 80,000 - 130,000; Full time

Job summary

An established industry player is seeking a dynamic Senior Product Manager to lead the charge in transforming data analytics through AI. In this pivotal role, you will define the product vision and strategy for an innovative platform, guiding a talented team to harness AI's potential for enhancing the workflow of accounting and audit professionals. This is an exciting opportunity to work at the forefront of technology, where your contributions will directly impact the evolution of financial software solutions. If you're passionate about AI and eager to drive meaningful change, this is the perfect role for you.

Qualifications

• 7+ years of experience in product management with a focus on AI and data analytics.
• Strong analytical skills and experience in agile environments.

Responsibilities

• Define product vision and strategy for AI-powered Data Analytics Platform.
• Lead a team of product managers and collaborate with cross-functional teams.

Skills

Product Management

AI and Data Analytics

Communication Skills

Analytical Skills

Problem-Solving

Education

Bachelor's degree in Computer Science

Bachelor's degree in Information Systems

Bachelor's degree in Business

Tools

AWS Bedrock

Amazon SageMaker

Tableau

Power BI

Jira

Confluence

Aha!

Miro

Job description

Caseware is one of Canada's original Fintech companies, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and available in 16 different languages. While you might not have heard of us (yet) over 36,000 accounting and audit professionals list Caseware as a skill on their LinkedIn profiles!

We are seeking a highly motivated and detail-oriented Senior Product Manager, AI & Data Analytics Platform to join our Data Analytics Platform Team at Caseware, a leading SaaS organization. As a Senior Product Manager, you will play a critical role in defining the product vision, strategy, and roadmap for our AI-powered Data Analytics Platform, including our AI Digital Assistant (AiDA), ensuring our solutions meet the evolving needs of accounting and audit professionals worldwide.

You will work closely with cross-functional teams to translate business requirements into AI-enhanced product specifications, lead discovery work, and validate product ideas through prototyping and testing. This role is perfect for product leaders who are passionate about harnessing the power of AI to transform how accounting and audit professionals work.

This is a Full-time permanent position

Location: This is a hybrid role requiring the successful candidate to work 3 days a week in our Toronto office, located at 351 King St E, Suite 1100, Toronto, ON.

Contact:

Chengeer Lee - Principal Talent Acquisition Partner & Coach

What you will be doing:

• Define the product vision, strategy, and roadmap for our AI-powered Data Analytics Platform, with special focus on expanding our AI Digital Assistant (AiDA) capabilities.
• Lead and mentor a team of product managers, providing guidance on AI discovery methods, prioritization frameworks, and execution strategies.
• Drive the development of initiatives that enable users to efficiently import, validate, and analyze data using AI-enhanced workflows within their engagements.
• Collaborate with AI engineers, data scientists, and stakeholders to prioritize features, enhancements, and technical improvements using a data-driven approach.
• Establish and nurture strategic partnerships with AI technology providers to enhance our platform capabilities and expand our market reach.
• Engage with customers, partners, and industry experts to understand evolving AI and data analytics needs, pain points, and trends for auditors and accountants.
• Work closely with engineering teams to translate business requirements into detailed product specifications that leverage AI to address core customer problems.
• Partner with solution teams to ensure seamless integration of AI capabilities within their applications.
• Implement and track success metrics to measure AI product adoption, usage, and value creation.
• Lead discovery work and validate AI product ideas through prototyping and testing before committing development resources.
• Balance technical debt reduction and infrastructure improvements while delivering new AI capabilities that drive business value.
• Champion the ethical use of AI in audit and accounting, ensuring our solutions maintain data privacy, security, and compliance standards.

What you will bring:

• 7+ years of experience in product management, with exposure to or passionate interest in AI, data analytics, business intelligence, or financial software.
• Experience leading and developing a team of product managers.
• Strong enthusiasm for AI and its applications in business software, with a desire to champion AI innovation.
• Understanding of AI concepts, data processing, analytics, and visualization technologies and methodologies.
• Experience working with cross-functional teams in an agile environment.
• Exceptional communication skills with the ability to translate complex AI concepts into business value for both technical and non-technical stakeholders.
• Demonstrated ability to define and execute product strategy that drives business outcomes.
• Strong analytical and problem-solving skills with an emphasis on data-driven decision making.
• Experience gathering and prioritizing product requirements based on user research, market analysis, and business objectives.
• Bachelor's degree in Computer Science, Information Systems, Business, or a related field.
• Genuine passion for exploring AI applications in audit and accounting, with a willingness to learn and grow in this rapidly evolving field.

The Tech Stack you will be working with:

• AI and machine learning platforms (AWS Bedrock, Amazon SageMaker, LLMs)
• AI Digital Assistant technology (AiDA)
• Data analytics tools and platforms (Tableau, Power BI, or similar tools)
• Product management tools (Jira, Confluence, Aha!, Miro)
• Cloud infrastructure (AWS)
• Business intelligence and data visualization frameworks
• Big data processing technologies
• Prototyping and user testing platforms