
Senior Manager, Revenue Management & Data Analytics
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Job overview
The Senior Manager, Revenue Management Data Science leads a team developing advanced analytics, predictive models, and insights to optimize pricing, customer lifetime value, and revenue growth. The role partners with Customer Experience, Sales, and Pricing leadership, translating complex data into recommendations that support business performance and customer retention. It oversees analytical initiatives and deliverables while fostering innovation and data-driven decision-making.
Skills & qualifications
Skills
Qualifications
Benefits
Full 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
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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.
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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.
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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.
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Establishes strategic plans and objectives.
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Creates and/or approves project plans and application designs to ensure projects are aligned with standards and IT strategy. Approves standards, policies, and procedures.
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Provides expert technical and functional leadership and problem resolution to teams.
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Coordinates with multiple teams and suggests solutions in support of technology needs of the business unit or function served.
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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.
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Maintains working relationship and coordinates with several teams to integrate project with applications and/or initiatives.
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Coordinates communication about project status to all levels of the organization.
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Prepares and/or provides budget input for ongoing and future expenditures, monitors budget performance, and provides forecasts. Monitors departmental performance against budget.
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Coordinates and oversees recruiting, interviewing, hiring, career development, performance management, pay determination and team communication.
III. Qualifications
A. Required Qualifications
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Bachelor's Degree (accredited) in Computer Science, MIS, Business Administration or similar area of study, or in lieu of degree
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High School Diploma or GED (accredited) and 4 years of relevant experience.
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8 years or more years previous experience (in addition to education requirement)
B. Preferred Qualifications
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Project Management Certification
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ITIL
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Certified Software Test Engineer
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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
Listed below are key points regarding physical demands, physical and occupational risks, and the work environment of the job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job.
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Repetitive Motions
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Eye/Hand/Foot Coordination
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Sitting
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Talking
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Hearing
Office: This job primarily operates in a professional office environment and routinely requires the use of standard office equipment such as computers, phones, copy machines, etc.
V. Benefits
At WM, each eligible employee receives a competitive total compensation package that includes medical, dental, vision, life insurance, and short-term disability. In addition, we offer a stock purchase plan, company matching on a 401(k), and more. Employees also receive paid vacation, holidays, and personal days. Please note that benefits may vary by site.
If this sounds like the opportunity that you have been looking for, please click Apply.
Equal Opportunity Employer: Minority/Female/Disability/Veteran
How this job compares
Set against the 1,921 open Data Science jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This postingNot listed
- Texas median$124–234K/yr62 salary ranges
- US median$35–48/hr129 hourly ranges
- Openings
- Olive Jobs lists 100 open Data Science jobs in Texas and 1,921 across the US. 6% of them nationwide are listed as remote or flexible.
- Hiring the most in Texas
- JPMorgan Chase11 open
- Accenture10 open
- PwC10 open
- Experience
- This posting asks for at least 8 years of experience; Data Science postings that state a minimum ask for 6 years at the median (1,581 postings).
- Education
- 779 of the 1,921 open Data Science jobs (41%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 10, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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