General Information Ref # 53593 Department Data / technology Job Site Mission Pet Health Date ... years in product management, with experience working on an AI or data product. * Demonstrated ...
General Information Ref # 53593 Department Data / technology Job Site Mission Pet Health Date ... years in product management, with experience working on an AI or data product. * Demonstrated ...
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Data Product Manager information
See Alabama salary details
$46.7K - $58.7K
0% of jobs
$58.7K - $70.7K
1% of jobs
$70.7K - $82.6K
3% of jobs
$82.6K - $94.6K
4% of jobs
$94.6K - $106.6K
5% of jobs
$106.6K - $118.6K
5% of jobs
$123.7K is the 25th percentile. Wages below this are outliers.
$118.6K - $130.6K
14% of jobs
$130.6K - $142.6K
5% of jobs
The median wage is $150.4K / yr.
$142.6K - $154.6K
18% of jobs
$163.7K is the 75th percentile. Wages above this are outliers.
$154.6K - $166.6K
24% of jobs
$166.6K - $178.6K
19% of jobs
$46.7K
$144.5K
$178.6K
How much do data product manager jobs pay per year?
What is a data product manager?
What is the difference between a product manager and a data product manager?
How does a data product manager typically collaborate with data engineers and analysts on a project?
What is the difference between Data Product Manager vs Data Analyst?
| Aspect | Data Product Manager | Data Analyst |
|---|---|---|
| Primary Focus | Developing data products, strategy, and roadmaps | Analyzing data to generate insights and reports |
| Skills & Certifications | Data management, product management, SQL, data visualization | Data analysis, SQL, Excel, statistical tools |
| Work Environment | Cross-functional teams, product development lifecycle | Data analysis teams, reporting environments |
| Industry Usage | Tech, finance, healthcare, where data products are built | Business intelligence, marketing, operations |
The main difference is that Data Product Managers focus on creating and managing data products and strategies, while Data Analysts concentrate on analyzing data to provide insights. Both roles require strong data skills, but their responsibilities and objectives differ significantly.
Is being a data product manager considered a stressful job?
What are the key skills and qualifications needed to thrive as a data product manager, and why are they important?

Full-time
Posted 4 days ago
Job description
Ref #
53593
Department
Data / technology
Job Site
Mission Pet Health
Date Published
08-07-2026
Pay Class
Full-Time
Job Description
Our intelligence platform is the engine that turns data from across the ecosystem into personalized actions that increase purchase frequency and reduce client churn. This PM will own the roadmap and execution for the platform, partnering closely with key stakeholders to shape product strategy, at the intersection of AI, data, and clinical operations.
This is a high-ownership role on a small, fast-moving team. You'll help define what the platform becomes, partner with engineering and data science to build it, and work directly with field and clinical leaders to get it adopted.
What You'll Do
Product Strategy & Roadmap
- Own the roadmap for the intelligence platform, and partner with stakeholders to shape strategy in support of the broader vision - including next best action targeting, automated communications, churn prevention, data integration, and adaptive modeling.
- Contribute to how the platform evolves over time: where it deepens, where it expands, and how it connects across the broader product ecosystem.
- Make clear prioritization decisions grounded in clinical impact, revenue outcomes, and feasibility.
Execution & Delivery
- Drive end-to-end product delivery - from problem definition and spec through build, launch, and iteration.
- Partner closely with data science, engineering, and analytics to translate intelligence capabilities into usable product features.
- Define success metrics, instrument features, and lead structured reviews of outcomes after every launch.
- Own launch management: ensure every release has a communication plan, training materials, and a clear adoption path for field and clinical teams.
Stakeholder Alignment & Field Partnership
- Serve as the primary product voice for the intelligence platform across internal stakeholders - clinical operations, marketing, regional leadership, and the broader technology team.
- Build and maintain trust with field leaders by communicating clearly about what the platform does, what it doesn't do, and why decisions are made.
- Translate complex AI and data concepts into plain language for non-technical audiences; develop learning materials that drive genuine adoption.
AI & Data Product Craft
- Develop a working understanding of the models and data pipelines that power the platform's features - enough to ask the right questions, spot risks, and make informed tradeoffs.
- Define guardrails and transparency standards for AI-driven recommendations: what gets surfaced, how it's explained, and how clinicians maintain authority.
- Partner with the statistical analyst to ensure the platform's outputs are grounded in rigorous measurement and honest evaluation of impact.
Clinical & Hospital Grounding
- Bring firsthand familiarity with veterinary hospital workflows - how appointments, care plans, and client communications actually move through a practice day to day.
- Evaluate platform recommendations for clinical relevance and practicality, flagging where a model-driven action doesn't match how care teams actually work.
- Translate hospital business needs (capacity, staffing, case mix, revenue drivers) into product requirements the team can build against.
- Act as a credible partner to clinical and field leaders, grounded in real hospital operations rather than a general product perspective alone.
Responsibilities and Benefits
Responsibilities and Benefits
What You'll Need
Required
- 4+ years in product management, with experience working on an AI or data product.
- Demonstrated ability to own a roadmap end-to-end, partnering with stakeholders to shape strategy along the way.
- Strong written and verbal communicator; comfortable presenting to clinical, operational, and executive audiences.
- Experience working directly with data science or ML teams to bring model-driven features to production.
- Track record of driving adoption for products that require behavior change in the field.
- Comfortable with ambiguity; able to make decisions and move forward without perfect information.
Preferred
- DVM, veterinary clinical experience, or deep familiarity with hospital workflows and operations.
- Familiarity with personalization or recommendation systems.
- Experience defining tracking plans and working with analytics instrumentation.
- Exposure to launch management processes for regulated or operationally sensitive environments.
What Success Looks Like
First 90 Days
- Deep understanding of the platform's current capabilities, architecture, and gaps - documented and shared with the team.
- A clear v1 roadmap prioritized and aligned with key stakeholders.
- At least one active initiative in flight with a defined launch plan, communication strategy, and success metrics.
First Year
- The platform is delivering measurable impact on purchase frequency and churn reduction across targeted hospital cohorts.
- Field and clinical teams trust the platform - they understand what it does, use it consistently, and provide structured feedback.
- A repeatable launch and communication framework is in place for all future releases.
About Mission Pet Health
Mission Pet Health operates a growing network of veterinary hospitals and pet health services. We're committed to making high-quality pet care accessible and to building lasting relationships with pet owners across our markets. Our intelligence platform is central to that mission - it's how we make the ecosystem smarter over time.
This role reports to the Director of Product.
Mission Pet Health is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.