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Senior Product Manager (Platform, Data & Intelligence)

Acuity Insights•Greater Vancouver, British Columbia
Full-time7-15
👁️ 0 views•📝 0 applications•Posted 10/25/2026•Expires 11/24/2026
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Job Description

Overview Design the data, analytics, and intelligence foundations that products and decisions are built on. Behind every confident product decision sits a platform that gets data, analytics, and intelligence right. Building that foundation, and shaping what it enables, is the work of this role. As Senior Product Manager, Platform, Data & Intelligence, you'll own the product decisions that turn fragmented systems into coherent foundations and evolve those foundations into meaningful analytics and intelligence offerings. Your work will enable teams to build faster, operate with confidence, and generate insight that supports institutional decision-making and long-term growth. This is a senior, hands-on product leadership role for someone who builds platform capabilities through real delivery, and is ready to define what analytics and intelligence mean as product surfaces, not just underlying systems. This is a remote, full-time role based in Canada. The Moment You7d Be Stepping Into We've reached a point where building and evolving products in isolation no longer scales. Fragmented data models, uneven analytics, and ad-hoc platform capabilities now create friction that slows teams and limits insight. This work isn't only about reducing friction. It's about making deliberate product decisions that enable strategic growth and expansion across our product portfolio. The opportunity ahead is to define how data is structured, how analytics are delivered, how integrations are handled, and how intelligence is embedded, including what is foundational, what is advanced, and how these capabilities become differentiated value for institutions. The choices made here will shape not only how teams build today, but what kinds of analytics, insights, and ecosystem capabilities Acuity can offer tomorrow. At the same time, this work happens in a real environment: • Multiple products at different stages of maturity • Live customers and institutional partners who rely on continuity and trust • Engineering teams balancing delivery, technical health, and long-term platform evolution You'll be stepping into a role where: • Direction matters, but not everything is fully defined • Platform decisions carry long-term consequences across products • Sequencing, trade-offs, and restraint are as important as ambition This is work for a senior product manager who's comfortable building in ambiguity and shaping clarity as the platform takes form. What You'll Be Accountable For As Senior Product Manager, Platform, Data & Intelligence, you'll be accountable for the product decisions that shape how our platform evolves. This role is accountable for outcomes, not just artifacts or outputs. In practice, that accountability shows up as: • Owning platform-level problem discovery and framing, distinguishing between product-specific needs and platform opportunities, and identifying the highest-leverage problems worth solving • Defining and communicating a coherent platform direction across data, analytics, integrations, and intelligence, aligned with business strategy and product priorities • Actively leading sequencing decisions across foundational platform work, including integrations, data migrations, and analytics evolution, deciding what to build now, what to defer, and what not to build at all • Setting the direction for the platform infrastructure that enables marketplace and ecosystem partners, including decisions about extensibility, integration patterns, and how external partners safely and effectively interact with the platform • Partnering closely with Engineering to scope work realistically, protect engineering focus, and balance delivery with long-term platform health • Defining and evolving analytics and intelligence offerings, including clear decisions about what is foundational versus advanced, how insights are surfaced, and how analytics create differentiated value for institutions • Owning outcome accountability for platform initiatives from discovery through delivery and iteration, ensuring the platform is trusted, extensible, and viable at scale • Owning product decisions for how intelligence and AI-enabled capabilities are embedded into workflows, ensuring they are grounded in strong data foundations, clear user value, and long-term platform viability This role sits close to delivery, requires comfort operating at the PM-Engineering boundary, and demands strong judgment in messy, cross-cutting problem spaces. What Makes This a Senior Role This role is senior because of the product judgment it requires. You'll be trusted to make decisions where: • Inputs are incomplete or competing • Trade-offs affect multiple products and teams • The cost of getting it wrong compounds over time At this level, success depends less on perfect plans and more on: • Clear problem framing • Thoughtful sequencing • The ability to learn quickly from what works and what doesn't • The discipline to protect platform integrity while enabling strategic progress under delivery pressure This is not a coordination or stewardship role. It's a building role, one that requires first-hand engagement with real platform work and comfort navigating the tension between progress and stability. What Success Looks Like (6-12 Months In) You've developed a deep understanding of our products, platform landscape, data foundations, and constraints, and you're fluent in the trade-offs that matter most. More concretely: • A clear platform and analytics direction is established, including a shared understanding of what analytics and intelligence offerings exist today and how they will evolve • Decisions about basic versus advanced analytics are explicit, intentional, and aligned to institutional needs and business strategy • Foundational work across data, analytics, integrations, and intelligence is not only planned but actively underway, with early delivery validating direction • Sequencing decisions reflect strong product judgment, what to build now, what to defer, and what not to build, and those decisions are trusted across Product and Engineering • The platform feels cohesive and purposeful, and analytics and intelligence are beginning to emerge as differentiated product capabilities, not just internal enablers Who This Role Is (and Isn't) For You've spent years working on complex products, particularly those with shared infrastructure, data, or platform concerns. You've been close to delivery, made hard sequencing decisions, and learned from real constraints, not just idealized roadmaps. You're likely to thrive in this role if you: • Take ownership of outcomes and follow through from discovery to delivery • Are comfortable operating in ambiguity and shaping clarity over time • Think in systems, not just features, and enjoy reducing complexity at scale • Partner deeply with Engineering and value technical fluency as part of strong product leadership • Bring urgency and execution muscle, while still valuing collaboration and long-term integrity This role may not be the right fit if you're primarily looking for: • A feature-focused PM role scoped to a single product • A stewardship or optimization role centered on maintaining existing systems • A greenfield environment with few constraints or low consequences • A role where direction is fully predefined and trade-offs are minimal How We Support You At Acuity, we're intentional about scaling the company without losing what makes it special, the sense of care, connection, and shared purpose that defines our culture. As we grow, we're intentional about our principles, policies, and ways of working, protecting that foundation while giving people trust, balance, and the support they need to do their best work. • Transparent compensation. A fair and transparent salary between $170,000-$210,000 CAD, aligned to role scope, experience, and internal equity • Learning that grows with you. A $3,000 annual learnin

Required Skills

dataanalyticsintelligenceplatformengineeringintegrationsAIproblem discoveryproduct managementdata migrationsuser valueextensibilitymarketplaceecosystemcloud computingdata modelingstrategic growthproduct strategycross-functional collaboration

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