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# Project Manager ? Data Science & AI Engineering

- **Company:** Massachusetts Mutual Life Insurance Company
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Artificial Intelligence, Confluence, JIRA, Cyber Security, Scrum Methodology, Information Technology
- **Published:** August 23, 2026
- **Apply:** https://www.dice.com/job-detail/8d9003ad-58e1-4032-869a-227b11d04140

## About the Role

* Bachelor?s degree?

 * 8+ years in technical field (this can be a combination of academic, research-based, or professional environment).

 * 4+ years of experience managing technical projects in Agile environments.

 * 2+ years of experience managing complex technical projects

The Ideal Qualifications

 * Education: Master?s degree (preferred) in business, computer science, engineering, or other applicable discipline.

 * Experience: Proven success delivering projects involving data science or AI or cyber security

 * Skills:

 * Advanced proficiency with project management tools (JIRA, Confluence) and Agile frameworks.

 * Strong ability to synthesize technical details into clear plans and executive-level communications.

 * Demonstrated leadership in driving accountability and fostering collaboration.

 * Mindset:

 * Outcome-oriented and highly adaptable.

 * Skilled at influencing without authority and building trust across diverse teams.

 * Thrives in fast-paced, evolving environments.

## Description

We work in high-caliber, product-focused teams that thrive on collaboration, curiosity, and diversity of thought. If you?re passionate about driving meaningful change, love working with brilliant minds, and want to see your work make a real impact, this is the place for you. This role is ideal for someone who excels at managing technically complex initiatives and ensuring seamless execution across multiple teams and priorities.

The Impact

 * Manage the delivery of a portfolio of AI and data science projects?from planning through implementation.

 * Coordinate across technical and non-technical teams?to manage dependencies and ensure clarity of requirements.

 * Lead agile ceremonies, including scrums, sprint planning, retrospectives, while driving accountability.

 * Help stakeholders understand what?s possible with AI and translate that into actionable project requirements.

 * Manage complexity across budget, timelines, scope, and stakeholder expectations.

 * Proactively identify risks and mitigation strategies, navigating ambiguity with confidence.


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