Senior Manager, Revenue Management & Data Analytics

WM (Waste Management); Houston (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Waste Management seeks a Senior Manager, Revenue Management Data Science to lead a team delivering advanced analytics for pricing, CLV, and revenue growth. You will translate data into actionable strategies for leadership and cross-functional partners.

Ideal candidates combine leadership with deep technical expertise in SAS, Python, SQL, and predictive modeling, communicating complex concepts to both technical and non-technical stakeholders and aligning analytics with business objectives.

Qualifications

• Bachelor's degree in CS/MIS/Business or similar field, or equivalent.
• 8+ years of relevant data science/analytics experience.
• Strong leadership and ability to translate analytics to business decisions.
• Experience with SAS, Python, SQL and predictive modeling is required.

Responsibilities

• Act as trusted advisor to senior leaders and shape analytical approaches.
• Lead and develop a technical data science team focused on pricing and revenue.
• Partner with Customer Experience, Sales, and Pricing to deliver value.
• Oversee model design, validation, and deployment for revenue initiatives.
• Coordinate cross-functional projects and manage budgets and timelines.

Skills

Leadership & People Management

Stakeholder Communication

Strategic Planning

Data Visualization

Education

Bachelor's Degree in Computer Science / MIS / Business Administration

Tools

SAS

Python

SQL

Job description

I. Job Summary

The Senior Manager, Revenue Management Data Science leads a team of Data Scientists responsible for developing advanced analytics, predictive models, and data-driven insights that optimize pricing strategies, customer lifetime value (CLV), and revenue growth. This role serves as a strategic partner to Customer Experience, Sales, and Pricing leadership, translating complex data into actionable recommendations that drive business performance and customer retention.

The Senior Manager oversees the design, development, and implementation of statistical and machine learning models to support revenue management initiatives, including customer segmentation, lifetime value forecasting, price increase effectiveness, retention analysis, and revenue optimization. The role is accountable for ensuring high-quality analytical deliverables while fostering a culture of innovation, continuous improvement, and data-driven decision-making across the organization.

The ideal candidate combines strong leadership capabilities with deep technical expertise in SAS, Python, SQL, predictive analytics, and data modeling. They must be able to communicate complex analytical concepts to both technical and non-technical stakeholders, influence strategic decisions, and align analytics initiatives with business objectives.

II. Essential Duties and Responsibilities

• Act as a trusted advisor to senior business leaders, proactively identifying opportunities, challenging assumptions, and collaborating to develop data-driven solutions. Demonstrate the business acumen to move beyond simply executing requests and help shape the right analytical approach.
• Lead and develop a team of highly technical data scientists while remaining actively engaged in solution design, coding, and model development. Effectively balance individual technical contributions with delegating, reviewing, and guiding the team's work.
• Partner with stakeholders to define business problems, recommend analytical approaches, and drive solutions from initial concept through development, implementation, and continuous refinement to deliver measurable business value.
• Establishes strategic plans and objectives.
• Creates and/or approves project plans and application designs to ensure projects are aligned with standards and IT strategy. Approves standards, policies, and procedures.
• Provides expert technical and functional leadership and problem resolution to teams.
• Coordinates with multiple teams and suggests solutions in support of technology needs of the business unit or function served.
• Assigns and reviews work. Allocates appropriate resources to ensure that projects are completed within committed time and budget and are integrated with other software applications.
• Maintains working relationship and coordinates with several teams to integrate project with applications and/or initiatives.
• Coordinates communication about project status to all levels of the organization.
• Prepares and/or provides budget input for ongoing and future expenditures, monitors budget performance, and provides forecasts. Monitors departmental performance against budget.
• Coordinates and oversees recruiting, interviewing, hiring, career development, performance management, pay determination and team communication.

III. Qualifications

A. Required Qualifications

• Bachelor's Degree (accredited) in Computer Science, MIS, Business Administration or similar area of study, or in lieu of degree
• High School Diploma or GED (accredited) and 4 years of relevant experience.
• 8 years or more years previous experience (in addition to education requirement)

B. Preferred Qualifications

• Project Management Certification
• ITIL
• Certified Software Test Engineer
• equivalent

C. Knowledge, Skills and Abilities

May require in-depth skills in one or more of the following: PeopleSoft HRMS, ERP development, implementation and support, QA management experience and training experience, managing large-scale data centers, ISeries, software analysis design and development, application development projects, programming/relational database, data warehousing, application testing, project lifecycle methodology, analytical skills, general IT knowledge, budgeting, accounting and finance, communication skills, executive leadership, strategic planning and simultaneous project management of multiple projects.

D. Preferred Knowledge, Skills and Abilities

Possess advanced, hands‑on proficiency in SAS, Python, SQL, statistical modeling, and predictive analytics. Must be capable of independently writing code, developing complex analytical models, troubleshooting technical challenges, and translating data into actionable business insights.

IV. Physical Requirements

• Repetitive Motions
• Eye/Hand/