Senior Data & BI Operations Lead

BetMGM; New Jersey; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Pre-tax accounts (FSA, commuter)

Flexible paid time off

Professional development reimbursement

Employee resource groups

Swag and ticket giveaways

Job summary

BetMGM is seeking a Sr. Data Project Manager in New Jersey to drive direction across Data & BI Operations products and portfolios. You will lead cross-functional efforts and set standards for delivery without direct people management responsibility.

You will partner with IT, Gaming, Finance, and other business areas to shape priorities, manage complex dependencies, and ensure governance across reporting, analytics, and data platforms.

Qualifications

• Experience leading multi-domain Data & BI initiatives.
• Ability to translate business needs into governance and operating models.
• Strong analytical judgment and decision-making at executive level.

Responsibilities

• Owns portfolio governance across multiple Data & BI Operations products and domains.
• Frames complex business and technical problems; reframes issues for teams to solve the right problem.
• Creates discovery, requirements, prioritization, delivery, governance standards used across Data & BI Operations.
• Designs scalable frameworks, operating models, controls, and runbooks for repeatable delivery.
• Manages a portfolio of interdependent work balancing scope, timelines, quality, risk, and value.
• Produces polished executive communications, decision materials, and governance packs.

Skills

Portfolio governance

Cross-functional collaboration

Executive stakeholder management

Job description

BetMGM is seeking a Sr. Data Project Manager in New Jersey to drive direction across Data & BI Operations products and portfolios. You will lead cross-functional efforts and set standards for delivery without direct people management responsibility.

You will partner with IT, Gaming, Finance, and other business areas to shape priorities, manage complex dependencies, and ensure governance across reporting, analytics, and data platforms.