> Markdown version of [/jobs/ext/540745-manager-of-product-management-data-analytics-ai](https://www.wearedevelopers.com/jobs/ext/540745-manager-of-product-management-data-analytics-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Manager of Product Management, Data Analytics & AI

- **Company:** Inspyr Solutions
- **Location:** Spring, TX, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Software as a Service, Information Engineering, Machine Learning, Systems Development Life Cycle, Recommender Systems, Large Language Models, Data Analytics, Data Management
- **Published:** June 5, 2026
- **Apply:** https://www.dice.com/job-detail/541baeb0-884b-4020-9728-13bb55a9381f

## About the Role

* 10 + years of product management experience, with 2+ years in analytics, data, or AI/ML roles.
 * Proven ability to scale data platforms and deliver AI-powered product features in SaaS environments.
 * Deep command of product management principles with strong technical fluency.
 * Experience applying data science to real-world business problems and advocating for modern solutions (e.g., AI/ML, LLMs).
 * Strong communicator and collaborator, able to bridge business and technical teams effectively.
 * Prior experience in financial services or SaaS environments is a plus.

## Description

We''re seeking an experienced Senior Manager of Product Management to lead our Data & Analytics (D&A) initiatives and manage a team of four product managers. This high-impact role will drive strategy, execution, and adoption of internal and customer-facing data products, including advanced analytics and AI/ML capabilities., Team & Process Leadership

 * Lead and mentor a team of four Product Managers, fostering collaboration and growth.
 * Co-lead the development and enforcement of SDLC/Agile best practices across all of D&A, including establishing KPI's across the organization.
 * Serve as a D&A ambassador, evangelizing the value of data across internal business units.

Strategy & Vision

 * Define and evolve the roadmap for data, analytics, and AI/ML products.
 * Work with business sponsors and stakeholders to gather requirements and align roadmaps.
 * Translate strategic goals into actionable, data-powered initiatives.

Execution & Delivery

 * Partner with Data Engineering, BI, and Data Science teams to estimate and deliver D&A products.
 * Own the end-to-end product lifecycle-from discovery and definition through launch and optimization.
 * Work with UX to deliver intelligent tools (dashboards, recommendation systems, automation, etc.).

Collaboration & Stakeholder Engagement

 * Align closely with cross-functional teams (Sales, Compliance, Customer Success) to gather insights and support adoption.
 * Ensure product initiatives address user needs while meeting business objectives.

Research & Innovation

 * Conduct user research and market analysis to identify data and AI opportunities.
 * Benchmark against competitors and monitor AI/ML trends to guide innovation.


## Related Videos

- [AI and Agility: The Dynamic Duo for Disruption](https://www.wearedevelopers.com/videos/2081-ai-and-agility-the-dynamic-duo-for-disruption)
- [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data)
- [It's all about the Data](https://www.wearedevelopers.com/videos/425-it-s-all-about-the-data)
- [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning)
- [AI PowerPlay: Building High-Impact Teams & Transformative Solutions](https://www.wearedevelopers.com/videos/1005-ai-powerplay-building-high-impact-teams-transformative-solutions)
- [How Data is Shaping our Games](https://www.wearedevelopers.com/videos/176-how-data-is-shaping-our-games)

## Related Articles

- [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)
- [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)
- [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift)
- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)
- [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)