Mid Level Data Management & Strategy - Manager Jobs
Mid level data management & strategy - manager jobs go to professionals ready to own data initiatives end to end, guide junior analysts, and shape strategic decisions with minimal oversight. Roles are distributed across Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, with DoorDash, JPMorganChase, and TikTok among the employers hiring at this level now.
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INTRODUCTION
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare. With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work. At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey. Join us in redefining healthcare — so it doesn’t just survive, it thrives.
Travel to Office expectations
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.
For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.
Position Summary
The Strategic Finance Analytics Manager is a newly created role that builds and leads the financial modelling and analytics capability at the core of PointClickCare’s strategic finance function. The role delivers the models, tools, and decision support that enable leadership to drive profitability, optimize commercial strategy, and allocate resources with precision — with work that is highly visible to executive leadership, the Board, and investors. Positioned at the intersection of Finance, Strategy, and Go-to-Market, the near-term focus is Pricing & Monetization Analytics, while the broader mandate is to build scalable analytical frameworks applicable across any strategic finance domain the business identifies. A defining attribute of the role is the hands-on application of AI/ML to modernize and accelerate modelling, scenario generation, and reporting.
KEY RESPONSIBILITIES
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Financial Modelling & Scenario Analysis. Build and maintain in-house financial and profitability models that evaluate the revenue and margin implications of strategic decisions, beginning with pricing and commercial strategy and expanding to other strategic finance domains. Run scenario and sensitivity analyses on packaging, pricing changes, GTM strategies, and investment trade-offs, measured against NRR, ARR, and contribution margin.
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AI-Led Modernization of the Analytics Toolkit. Apply AI/ML tools, including LLMs and predictive modelling, to accelerate modelling, scenario generation, and reporting, raising the speed and sophistication of decision support across the function. Build scalable, self-serve analytics tools that give Finance, Pricing, Sales Ops, and business unit leaders consistent, decision-ready intelligence.
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Pricing & Monetization Analytics. Evaluate pricing changes through quantitative modelling of customer, revenue, and margin impact across segments and geographies. Track pricing and monetization KPIs (discount compliance, revenue realization, contribution margin) against targets, and quantify the financial impact of commercial governance decisions including pricing policies, discount frameworks, and packaging structures.
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Executive & Profitability Reporting. Deliver regular profitability and commercial performance reporting to ELT and GTM leadership, including a measurement framework that tracks strategic initiative effectiveness, monetization outcomes, and contribution margin across products, segments, and geographies. Partner with FP&A and Sales Ops to integrate pricing and profitability analytics into the forecast and planning cycle, and with Revenue Assurance and Finance Ops to remediate pricing-related revenue risks.
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Stakeholder Engagement & Decision Support. Act as the primary analytical partner to Pricing, Sales Enablement, and business unit leaders on profitability decisions, translating complex analysis into clear, actionable recommendations. Present findings, models, and recommendations to senior leadership in executive-ready format, and contribute to Board and investor materials covering pricing strategy, monetization performance, and platform progress.
REQUIRED SKILLS & QUALIFICATIONS
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University degree in Finance, Business, Economics, or a related quantitative field
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5-7 years in financial analysis, FP&A, or quantitative/strategic finance in a SaaS or technology environment.
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Exceptional financial modelling and scenario-analysis skills, with a demonstrated track record building revenue, profitability, or pricing models and translating them into decision support (the core qualification for the role).
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Hands-on experience applying AI/ML tools (including LLMs and predictive modelling) to accelerate and modernize modelling and reporting workflows — a defining attribute of the role, not a nice-to-have.
PREFERRED SKILLS & QUALIFICATIONS
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Pricing or monetization experience (an asset, not a requirement)
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Experience with BI tools (Power BI preferred) and executive-grade data visualization.
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Exposure to Salesforce (SFDC), including Revenue Cloud Advanced (RCA).
POINTCLICKCARE BENEFITS & PERKS
Benefits starting from Day 1!
- Retirement Plan Matching
- Flexible Paid Time Off
- Wellness Support Programs and Resources
- Parental & Caregiver Leaves
- Fertility & Adoption Support
- Continuous Development Support Program
- Employee Assistance Program
- Allyship and Inclusion Communities
- Employee Recognition
- … and more!
At PointClickCare, base salary is one of the many components that make up our total rewards package. The US base salary range for this position is $133,000 - $147,000 + bonus + benefits, non-overtime eligible. Our salary ranges are determined by job and level. The range displayed on each job posting reflects the target for new hire salaries for the position across all US locations. Within the range, individual compensation is determined by job-related skills and knowledge, relevant experience including professional and lived experience, and/or work location. Your recruiter can share more information about our total rewards package during the hiring process.
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Find JobsMid Level Data Management & Strategy - Manager Job Market
Who's Hiring
- DoorDash54

- JPMorganChase42

- TikTok40

- Google34

- Datadog32

Top Industries Hiring
- Technology & Software473
- Banking & Financial Services121
- Healthcare & Medical Services121
- Consulting & Professional Services121
- Retail96
Mid Level Data Management & Strategy - Manager Jobs: Frequently Asked Questions
How do I get a mid level data management & strategy - manager job?
Position yourself by highlighting hands-on ownership of data projects, not just participation. Emphasize decisions you drove, frameworks you built or improved, and outcomes you can quantify. Tailor your application to show you can manage complexity and communicate data strategy to non-technical stakeholders. Roles at this level expect you to work with limited supervision, so evidence of independent execution matters most.
Which companies hire mid level data management & strategy - managers?
Companies hiring mid level data management & strategy - managers right now include DoorDash, JPMorganChase, and TikTok, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a wide range of organizations, including large enterprises building centralized data functions and mid-size companies scaling their analytics and governance capabilities.
Are there remote mid level data management & strategy - manager jobs?
Yes, remote and hybrid options are widely available at this level. About 52% of mid level data management & strategy - manager openings are remote or hybrid as of July 2026, reflecting how broadly data management responsibilities can be performed outside a physical office. On-site roles tend to concentrate in industries where data governance is closely tied to operations.
How do I move up to a mid level data management & strategy - manager role?
Getting to mid level means building a record of owning increasingly complex data work, not just executing tasks assigned by others. Focus on deepening expertise in data governance, pipeline management, or analytics strategy, and take on projects that require cross-functional coordination. Demonstrating measurable impact, such as improved data quality or faster reporting cycles, signals readiness to step into mid level ownership.
Which industries hire the most mid level data management & strategy - managers?
Mid Level data management & strategy - manager roles concentrate in Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they manage large, complex data ecosystems where mid level professionals are needed to bridge technical execution and organizational strategy.