Project Manager – Data Science & AI Engineering

MassMutual•Boston, MA

About The Position

The Opportunity At MassMutual, we’re more than life insurance – we’re a leading financial services company committed to helping people secure their future and protect what matters most. As a Project Manager in Data Science & AI Engineering, you’ll lead the delivery of AI and data-driven solutions by managing scope, timelines, and stakeholder expectations across multiple, concurrent projects. You’ll partner closely with data scientists, AI engineers, and product managers to ensure projects run smoothly and deliver measurable impact. Your ability to understand technical concepts and anticipate risks, resolve challenges, and maintain alignment will be critical to driving successful outcomes. The Team Our Data Science & AI Engineering team is driving innovation through machine learning and AI-powered solutions – including generative AI and emerging agentic AI approaches – that transform how we deliver value across the enterprise. 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.

Requirements

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

Nice To Haves

Master’s degree (preferred) in business, computer science, engineering, or other applicable discipline.
Proven success delivering projects involving data science or AI or cyber security
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.
Outcome-oriented and highly adaptable.
Skilled at influencing without authority and building trust across diverse teams.
Thrives in fast-paced, evolving environments.

Responsibilities

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.