Revenue Optimization Manager Jobs in Maryland
Revenue Optimization Manager jobs in Maryland are concentrated in healthcare systems, government contracting, financial services, and technology, with demand ranging from analyst-adjacent roles up to senior director level. The heaviest hiring is in Baltimore, Bethesda, and Annapolis, where established employers such as Johns Hopkins Health System, Leidos, and T. Rowe Price maintain ongoing revenue and pricing functions. Pricing strategy, contract revenue analysis, and managed care rate optimization are the most consistently sought specialties across Maryland postings. See the openings below and apply to the ones that match your experience.
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Showing 5 of 6+ Revenue Optimization Manager jobs
Essential Duties and Responsibilities
Mathematical Optimization & Resource Allocation
- Formulate real-world resource allocation problems as mathematical optimization models (linear programming, integer programming, mixed-integer programming)
- Develop and implement optimization algorithms for complex assignment problems including adjudicator workload distribution, facility inspection scheduling, and investigator allocation
- Apply constraint programming and heuristic methods to solve large-scale, computationally challenging optimization problems
- Build decision support tools that enable operational leaders to explore tradeoffs and make resource deployment decisions with mathematical rigor
Strategic Analysis & Decision Support
- Conduct cost-benefit analyses and apply mathematical programming techniques to optimize the distribution of personnel, budgetary, and operational resources across competing requirements
- Apply risk-based optimization to prioritize facility assessments, case assignments, and inspection schedules based on threat levels and resource constraints
- Perform trade-space analysis and sensitivity studies to understand how optimal solutions change under different assumptions, constraints, or objectives
- Develop multi-objective optimization approaches that balance competing goals (speed, quality, cost, risk mitigation)
Model Development & Implementation
- Utilize optimization solvers (Gurobi, CPLEX, or open-source alternatives like Pyomo, PuLP, OR-Tools) to implement and solve mathematical models
- Validate optimization model outputs against historical operational data and subject matter expert judgment
- Develop prescriptive analytics that recommend specific actions based on optimization results
- Create scenario planning tools that allow decision-makers to explore "what-if" questions regarding resource allocation strategies
Collaboration & Communication
- Work closely with modeling/simulation specialists to incorporate predictive analytics into optimization formulations
- Partner with data engineering specialists to obtain empirically-grounded parameters, constraints, and objective function coefficients
- Translate mathematical optimization results into clear, actionable recommendations for non-technical decision-makers
- Present optimization approaches, tradeoff analyses, and recommendations to senior leadership
- Participate in cross-functional team activities to maintain technical standards and share knowledge
Required Skills & Experience
- 8+ years of progressive, hands-on operations research experience, including demonstrated application of mathematical optimization, resource allocation modeling, and prescriptive analytics to real-world operational problems
- 3–5 years of that experience supporting DoD or Intelligence Community mission areas such as personnel vetting, industrial security (NISP), counterintelligence, or insider threat
- Expert-level proficiency in mathematical optimization including linear programming, integer programming, and mixed-integer programming
- Hands-on experience with optimization solvers (Gurobi, CPLEX, FICO Xpress, or open-source alternatives such as Pyomo, PuLP, OR-Tools, COIN-OR)
- Demonstrated ability to formulate real-world problems as mathematical programs, including objective function design and constraint identification
- Proven proficiency in an analytical programming language (Python or R), with emphasis on optimization modeling libraries
- Experience with constraint programming and heuristic solution methods for large-scale or computationally difficult problems
- Strong foundation in algorithm design, computational complexity, and solution methods
- Ability to validate optimization models using operational data and communicate results to non-technical stakeholders
- Experience working in secure (classified) government environments
- Secret clearance required (active or ability to obtain)
Desired Skills & Experience
- Advanced degree in Operations Research, Applied Mathematics, Industrial Engineering, Management Science, or a related quantitative discipline
- Familiarity with NISP, clearance adjudication processes, and/or insider threat/counterintelligence analytic frameworks
- Experience with nonlinear optimization and stochastic optimization techniques
- Knowledge of multi-objective optimization and Pareto analysis
- Network optimization and graph algorithms (shortest path, max flow, matching problems)
- Experience with scheduling and routing problems (job shop scheduling, vehicle routing)
- Familiarity with game theory and decision analysis under uncertainty
- Knowledge of operations research software (AMPL, GAMS)
- Data visualization tools (Tableau, Power BI) for communicating optimization results
- SQL and database querying skills to support model parameterization
- Knowledge of queueing theory and simulation to better integrate with modeling specialists
- Experience with statistical modeling and risk analysis to inform optimization formulations
Application Deadline: July 31, 2026
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
Essential Duties and Responsibilities
Mathematical Optimization & Resource Allocation
- Formulate real-world resource allocation problems as mathematical optimization models (linear programming, integer programming, mixed-integer programming)
- Develop and implement optimization algorithms for complex assignment problems including adjudicator workload distribution, facility inspection scheduling, and investigator allocation
- Apply constraint programming and heuristic methods to solve large-scale, computationally challenging optimization problems
- Build decision support tools that enable operational leaders to explore tradeoffs and make resource deployment decisions with mathematical rigor
Strategic Analysis & Decision Support
- Conduct cost-benefit analyses and apply mathematical programming techniques to optimize the distribution of personnel, budgetary, and operational resources across competing requirements
- Apply risk-based optimization to prioritize facility assessments, case assignments, and inspection schedules based on threat levels and resource constraints
- Perform trade-space analysis and sensitivity studies to understand how optimal solutions change under different assumptions, constraints, or objectives
- Develop multi-objective optimization approaches that balance competing goals (speed, quality, cost, risk mitigation)
Model Development & Implementation
- Utilize optimization solvers (Gurobi, CPLEX, or open-source alternatives like Pyomo, PuLP, OR-Tools) to implement and solve mathematical models
- Validate optimization model outputs against historical operational data and subject matter expert judgment
- Develop prescriptive analytics that recommend specific actions based on optimization results
- Create scenario planning tools that allow decision-makers to explore "what-if" questions regarding resource allocation strategies
Collaboration & Communication
- Work closely with modeling/simulation specialists to incorporate predictive analytics into optimization formulations
- Partner with data engineering specialists to obtain empirically-grounded parameters, constraints, and objective function coefficients
- Translate mathematical optimization results into clear, actionable recommendations for non-technical decision-makers
- Present optimization approaches, tradeoff analyses, and recommendations to senior leadership
- Participate in cross-functional team activities to maintain technical standards and share knowledge
Required Skills & Experience
- 8+ years of progressive, hands-on operations research experience, including demonstrated application of mathematical optimization, resource allocation modeling, and prescriptive analytics to real-world operational problems
- 3–5 years of that experience supporting DoD or Intelligence Community mission areas such as personnel vetting, industrial security (NISP), counterintelligence, or insider threat
- Expert-level proficiency in mathematical optimization including linear programming, integer programming, and mixed-integer programming
- Hands-on experience with optimization solvers (Gurobi, CPLEX, FICO Xpress, or open-source alternatives such as Pyomo, PuLP, OR-Tools, COIN-OR)
- Demonstrated ability to formulate real-world problems as mathematical programs, including objective function design and constraint identification
- Proven proficiency in an analytical programming language (Python or R), with emphasis on optimization modeling libraries
- Experience with constraint programming and heuristic solution methods for large-scale or computationally difficult problems
- Strong foundation in algorithm design, computational complexity, and solution methods
- Ability to validate optimization models using operational data and communicate results to non-technical stakeholders
- Experience working in secure (classified) government environments
- Secret clearance required (active or ability to obtain)
Desired Skills & Experience
- Advanced degree in Operations Research, Applied Mathematics, Industrial Engineering, Management Science, or a related quantitative discipline
- Familiarity with NISP, clearance adjudication processes, and/or insider threat/counterintelligence analytic frameworks
- Experience with nonlinear optimization and stochastic optimization techniques
- Knowledge of multi-objective optimization and Pareto analysis
- Network optimization and graph algorithms (shortest path, max flow, matching problems)
- Experience with scheduling and routing problems (job shop scheduling, vehicle routing)
- Familiarity with game theory and decision analysis under uncertainty
- Knowledge of operations research software (AMPL, GAMS)
- Data visualization tools (Tableau, Power BI) for communicating optimization results
- SQL and database querying skills to support model parameterization
- Knowledge of queueing theory and simulation to better integrate with modeling specialists
- Experience with statistical modeling and risk analysis to inform optimization formulations
Application Deadline: July 31, 2026
At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.
We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.
SMX is an Equal Opportunity employer including disabilities and veterans.
Selected applicant may be subject to a background investigation and/or education verification.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).
See All 6 Revenue Optimization Manager Jobs in Maryland
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Find JobsRevenue Optimization Manager Jobs by City in Maryland
Where Maryland roles are concentrated, by current openings.
Revenue Optimization Manager Job Market in Maryland
A snapshot from current Maryland openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Retail
- Food & Beverage
- Hospitality & Tourism
What Maryland Employers Look For
The qualifications that appear most often in revenue optimization manager jobs across Maryland.
- Bachelor's degree in finance, business, economics, or a related analytical field
- Demonstrated experience with revenue cycle management or pricing strategy in a Maryland-relevant sector
- Proficiency in data analysis tools such as Excel, SQL, Tableau, or comparable platforms
- Proven ability to build revenue models, forecasts, and performance dashboards for leadership review
- Experience collaborating with sales, finance, and operations teams to execute revenue improvement initiatives
- Familiarity with government contracting regulations or managed care contract structures common in Maryland
Revenue Optimization Manager Jobs in Maryland: Frequently Asked Questions
How do you become a revenue optimization manager in Maryland?
Most revenue optimization managers in Maryland enter the role through a bachelor's degree in finance, business, economics, or a quantitative field, followed by several years in pricing, revenue cycle, financial analysis, or contracts. Maryland's healthcare and government contracting sectors often expect familiarity with managed care billing or federal acquisition regulations. No state-issued license governs the role directly, but certifications such as the Certified Revenue Cycle Professional or a CPA can meaningfully strengthen a candidacy for Maryland employers.
Which companies hire revenue optimization managers in Maryland?
Employers hiring revenue optimization managers in Maryland right now include SMX, Perdue, and RadNet, based on current listings on Migrate Mate as of July 2026. Maryland's large healthcare networks and defense contractors generate the most consistent long-term demand for this function statewide.
Which Maryland cities have the most revenue optimization manager jobs?
Maryland, Hanover, and Aberdeen account for the largest share of revenue optimization manager openings in Maryland. Baltimore drives the most volume through its dense concentration of hospital systems and financial institutions, while Bethesda and Annapolis draw demand from federal agencies, government contractors, and insurance carriers headquartered in the DC metro corridor.
Are there remote revenue optimization manager jobs in Maryland?
Yes, and more than most fields, because revenue optimization work is inherently analytical and desk-based. About 100% of revenue optimization manager openings tied to Maryland are remote or hybrid as of July 2026, reflecting the role's reliance on data platforms rather than physical presence. Fully remote arrangements are most common in SaaS pricing and subscription analytics, while healthcare and government contracting roles more often require at least partial on-site work.
How can I get hired as a revenue optimization manager in Maryland with little or no experience?
The most realistic entry path is through a revenue cycle analyst, pricing analyst, or financial analyst role at a large Maryland health system or contractor such as University of Maryland Medical System or a mid-size government contracting firm in the Bethesda corridor. Many of these employers run rotational finance programs or post junior analyst openings that ladder into revenue optimization functions. Building proficiency in SQL and a business intelligence tool, and pursuing a Certified Revenue Cycle Professional credential, significantly improves competitiveness for candidates without direct experience.
Where can I find and apply to revenue optimization manager jobs in Maryland?
You can find and apply to revenue optimization manager jobs in Maryland on Migrate Mate, which lists current Maryland openings updated regularly. Search the roles that fit your background and apply directly to the ones that match your experience and target location within the state.
See All 6 Revenue Optimization Manager Jobs in Maryland
Find roles in Maryland that match your experience and apply in just a few clicks.
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