Project Manager – Data Science & AI Engineering

MassMutual; Springfield (MA); On-site; USD 120,000 - 180,000; Full time

Job summary

MassMutual is seeking a Project Manager in Data Science & AI Engineering to orchestrate AI and data-driven initiatives across multiple teams. You will partner with data scientists, AI engineers, and product managers to ensure timely, impactful delivery.

You will guide planning, execution, and governance, translating complex technical concepts into clear requirements and actionable plans. A robust, collaborative mindset is essential.

Qualifications

• Bachelor’s degree required.
• 4+ years in a technical field (academic, research, or professional).
• 2+ years managing technical projects in Agile environments.
• 2+ years managing data science or AI projects.

Responsibilities

• Manage the delivery of AI and data science projects from planning through implementation.
• Collaborate with technical and non-technical teams to manage dependencies and ensure clarity of requirements.
• Facilitate agile ceremonies, including scrums, sprint planning, and 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.
• Navigate ambiguity, turning challenges into actionable plans.

Skills

JIRA

Confluence

Agile

Stakeholder management

Education

Bachelor's degree

Master's degree (preferred)

Tools

JIRA

Confluence

Job description

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 orchestrate the delivery of AI and data-driven solutions by managing scope, timelines, and stakeholder expectations. 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 will help you anticipate challenges, facilitate collaboration, and keep teams aligned.

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.

The Impact

• Manage the delivery of AI and data science projects from planning through implementation.

• Collaborate with technical and non-technical teams to manage dependencies and ensure clarity of requirements.

• Facilitate 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.

• Navigate ambiguity, turning challenges into actionable plans.

The Minimum Qualifications

• Bachelor’s degree

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

• 2+ years of experience managing technical projects in Agile environments.

• 2+ years of experience managing data science or AI projects.

The Ideal Qualifications

Education

Master’s degree (preferred) in business, computer science, engineering, or other applicable discipline.

Skills

• Strong understanding of project management tools (JIRA, Confluence) and Agile frameworks.
• Ability to translate technical details into clear plans and communications.
• Exceptional organizational and leadership abilities.

Mindset

• Outcome-oriented and detail-focused.
• Comfortable influencing without authority.
• Thrives in collaborative, fast-paced environments.

What to Expect as Part of MassMutual and the Team

• Regular collaboration with the Data Science & AI Engineering team.
• Focused one-on-one time with your manager.
• Networking opportunities including access to Asian, Hispanic/Latinx, African American, women, LGBTQ IA+;, veteran and disability-focused Business Resource Groups.
• Access to learning content on Degreed and other informational platforms.
• Your ethics and integrity will be valued by a company with a strong and stable ethical business with industry leading pay and benefits.

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MassMutual is an equal employment opportunity employer. We welcome all persons to apply.

If you need an accommodation to complete the application process, please contact us and share the specifics of the assistance you need.

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