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Project Manager – Data Science & AI Engineering

MassMutual
3 hours ago
Full-time
On-site
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

.

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.

The Minimum Qualifications 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.

What to Expect as Part of MassMutual and the Team Regular

collaboration

with the

Data Science & AI Engineering

t

eam

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

#LI-DM2 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.

California residents: For detailed information about your rights under the California Consumer Privacy Act (CCPA), please visit our

California Consumer Privacy Act Disclosures

page.