Operations Manager Jobs in Plano, TX
Operations Manager jobs in Plano, Texas are in strong demand, concentrated in the Legacy Business Park corridor, the Headquarters District near the Tollway, and the Collin Creek area across logistics, financial services, technology, and retail operations. Companies hiring right now include Cheil, FedEx, and garmac. See the openings below and apply to the ones that match your experience.
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Showing 5 of 345+ Operations Manager jobs
Domicile Information: This is a hybrid position located in Memphis, TN; Plano, TX; or Pittsburgh, PA. Candidates must live within 50 miles of the campus location. Employees will be required to work at the FedEx campus location several times per week.
Business Summary
The Manager of Data Science and Operations Research (DSOR) is a crucial leadership position responsible for enabling value creation through the application of Data Science and Operations Research methodologies. This support role requires a blend of strategic business thinking, product design, project management, user empathy, ability to structure the work with stakeholders, and proactive communication of progress or challenges. The Manager will closely partner and support a team of DSOR practitioners, fostering a culture of curiosity, rapid experimentation, and continuous improvement. This position is pivotal in translating business ideas into actionable solutions, ensuring progress through strategic enablement support, design excellence, and championing the use of the scientific method across the enterprise.
Essential Functions
- Builds and promotes advanced analytics and data science capabilities, to extract insights from vast data resources and inform decision-making across the business.
- Hiring, coaching, performance management, and strategic planning, as well as staying current with the latest developments in data science and collaborating with IT and business leadership on advanced analytics initiatives.
- Advanced Quantitative Background: Master’s or Ph.D. in Computer Science, Operations Research, Data Science, Machine Learning, Artificial Intelligence, Statistics, or another quantitative and computational field.
- Strategic AI & ML Leadership: Proven track record of leading and scaling high-performing data science teams to design and deliver advanced machine learning, predictive analytics, and generative AI solutions that drive measurable business value.
- ML Strategy & Experimental Oversight: Direct experience defining the strategic machine learning approach for complex business problems. Proven ability to guide teams through robust feature engineering, experimental design, and model development, while establishing metrics to rigorously measure and ensure model performance, accuracy, and business impact.
- Scientific Method & Experimental Rigor: Strong mastery of the scientific method; proficiency and comfort guiding teams through rigorous hypothesis definition, rapid prototyping, and structured experimentation.
- Opportunity Mobilization: Proven ability to mobilize cross-functional teams to explore new opportunities, foster innovation, and drive continuous experimentation.
- User-Centric Product Vision: Ability to envision and actively contribute to the design of user-centric products that seamlessly integrate data science to drive tangible business value and user engagement.
- Pragmatic & Business-Aligned Decision Making: Strong business acumen with an "engineering" mentality—capable of making pragmatic, rapid trade-offs between model complexity, development velocity, and business impact.
- Modern Software Best Practices: Experience championing high standards for code quality, collaborative workflows (Git-based version control), and reusable, production-ready data science repositories.
- Deep Analytical Empathy:
- Solid theoretical grounding in the mathematical and statistical core of data science to effectively evaluate team methodologies.
- Ability to critically review and guide the application of advanced modeling, deep learning, or neural network architectures.
- MLOps & Lifecycle Advocacy: Strong conceptual understanding of DevOps, MLOps, and LLMOps practices(CI/CD, model monitoring, and automated pipelines) to support the seamless transition of your team's models into production environments.
- Oversee the organization and strategic management of a portfolio of diverse DSOR projects. Ensure clear milestones are defined, progress is tracked systematically, and high-quality deliverables are met on time.
- Govern incoming business demand, set clear priorities, manage team capacity, and establish strict accountability for project progress.
MINIMUM EDUCATION
Bachelor’s degree or equivalent in Data Science, Operations Research, Engineering, Business Administration, Business Analytics, or related discipline. [Advanced degree preferred.]
MINIMUM EXPERIENCE
Five to eight (5 - 8) years of experience in working with teams in analytics, data science, operations research, engineering or a related field, with demonstrated leadership in managing teams and executing August 21, 2024 Version: 2 Page 3 of 3 complex projects. Practitioner or practitioner-adjacent experience in analytics, data science, operations research, or a related fields inclusive of prototyping and rapid experimentation.
Preferred Qualifications:  
Pay Transparency:   
Pay: Plano aand Pittsburgh: $10,231.53/mo to $13,812.57/mo; Memphis: $9,719.96/mo to $13,121.94/mo
Additional Details: Application Criteria: Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire.
For details on our comprehensive benefits, click here.
Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.
Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.
Applicants have rights under Federal Employment Laws:
- Know Your Rights
- Pay Transparency
- Family and Medical Leave Act (FMLA)
- Employee Polygraph Protection Act
E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services’ E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
- E-Verify Notice (bilingual)
- Right to Work Notice (English) / (Spanish)
Domicile Information: This is a hybrid position located in Memphis, TN; Plano, TX; or Pittsburgh, PA. Candidates must live within 50 miles of the campus location. Employees will be required to work at the FedEx campus location several times per week.
Business Summary
The Manager of Data Science and Operations Research (DSOR) is a crucial leadership position responsible for enabling value creation through the application of Data Science and Operations Research methodologies. This support role requires a blend of strategic business thinking, product design, project management, user empathy, ability to structure the work with stakeholders, and proactive communication of progress or challenges. The Manager will closely partner and support a team of DSOR practitioners, fostering a culture of curiosity, rapid experimentation, and continuous improvement. This position is pivotal in translating business ideas into actionable solutions, ensuring progress through strategic enablement support, design excellence, and championing the use of the scientific method across the enterprise.
Essential Functions
- Builds and promotes advanced analytics and data science capabilities, to extract insights from vast data resources and inform decision-making across the business.
- Hiring, coaching, performance management, and strategic planning, as well as staying current with the latest developments in data science and collaborating with IT and business leadership on advanced analytics initiatives.
- Advanced Quantitative Background: Master’s or Ph.D. in Computer Science, Operations Research, Data Science, Machine Learning, Artificial Intelligence, Statistics, or another quantitative and computational field.
- Strategic AI & ML Leadership: Proven track record of leading and scaling high-performing data science teams to design and deliver advanced machine learning, predictive analytics, and generative AI solutions that drive measurable business value.
- ML Strategy & Experimental Oversight: Direct experience defining the strategic machine learning approach for complex business problems. Proven ability to guide teams through robust feature engineering, experimental design, and model development, while establishing metrics to rigorously measure and ensure model performance, accuracy, and business impact.
- Scientific Method & Experimental Rigor: Strong mastery of the scientific method; proficiency and comfort guiding teams through rigorous hypothesis definition, rapid prototyping, and structured experimentation.
- Opportunity Mobilization: Proven ability to mobilize cross-functional teams to explore new opportunities, foster innovation, and drive continuous experimentation.
- User-Centric Product Vision: Ability to envision and actively contribute to the design of user-centric products that seamlessly integrate data science to drive tangible business value and user engagement.
- Pragmatic & Business-Aligned Decision Making: Strong business acumen with an "engineering" mentality—capable of making pragmatic, rapid trade-offs between model complexity, development velocity, and business impact.
- Modern Software Best Practices: Experience championing high standards for code quality, collaborative workflows (Git-based version control), and reusable, production-ready data science repositories.
- Deep Analytical Empathy:
- Solid theoretical grounding in the mathematical and statistical core of data science to effectively evaluate team methodologies.
- Ability to critically review and guide the application of advanced modeling, deep learning, or neural network architectures.
- MLOps & Lifecycle Advocacy: Strong conceptual understanding of DevOps, MLOps, and LLMOps practices(CI/CD, model monitoring, and automated pipelines) to support the seamless transition of your team's models into production environments.
- Oversee the organization and strategic management of a portfolio of diverse DSOR projects. Ensure clear milestones are defined, progress is tracked systematically, and high-quality deliverables are met on time.
- Govern incoming business demand, set clear priorities, manage team capacity, and establish strict accountability for project progress.
MINIMUM EDUCATION
Bachelor’s degree or equivalent in Data Science, Operations Research, Engineering, Business Administration, Business Analytics, or related discipline. [Advanced degree preferred.]
MINIMUM EXPERIENCE
Five to eight (5 - 8) years of experience in working with teams in analytics, data science, operations research, engineering or a related field, with demonstrated leadership in managing teams and executing August 21, 2024 Version: 2 Page 3 of 3 complex projects. Practitioner or practitioner-adjacent experience in analytics, data science, operations research, or a related fields inclusive of prototyping and rapid experimentation.
Preferred Qualifications:  
Pay Transparency:   
Pay: Plano aand Pittsburgh: $10,231.53/mo to $13,812.57/mo; Memphis: $9,719.96/mo to $13,121.94/mo
Additional Details: Application Criteria: Upload current copy of Resume (Microsoft Word or PDF format only) and answer job screening questionnaire.
For details on our comprehensive benefits, click here.
Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability.
Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.
Applicants have rights under Federal Employment Laws:
- Know Your Rights
- Pay Transparency
- Family and Medical Leave Act (FMLA)
- Employee Polygraph Protection Act
E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services’ E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
- E-Verify Notice (bilingual)
- Right to Work Notice (English) / (Spanish)
See All 345+ Operations Manager Jobs in Plano
Find roles in Plano that match your experience and apply in just a few clicks.
Find Operations Manager JobsOperations Manager Job Market in Plano
Who's Hiring
- Cheil36
- FedEx18
- garmac18
- Optimum18
- Cognizant18
Top Industries Hiring
- Technology & Software
Operations Manager Jobs in Plano: Frequently Asked Questions
How do I get a operations manager job in Plano?
The strongest path into Plano operations roles is targeting the city's dominant employer clusters: corporate headquarters along the Dallas North Tollway corridor, large regional distribution and fulfillment centers, and the financial services and telecom firms that have based major operations divisions in Plano. Candidates who can show cross-functional team leadership, process improvement results, and experience with high-volume or multi-site environments stand out in this market.
Which companies hire operations managers in Plano?
Companies currently hiring operations managers in Plano include Cheil, FedEx, and garmac, per current listings on Migrate Mate as of November 2026. Plano's employer base skews toward large corporate headquarters, regional logistics hubs, and mid-size technology and financial services firms that maintain substantial operations teams locally.
Are there remote operations manager jobs in Plano?
Yes, though it depends heavily on the type of role: operations managers overseeing physical facilities, warehouses, or field teams are almost always on-site, while those in program operations, vendor management, or business process roles are more likely to work remotely. About 63% of operations manager openings tied to Plano are remote or hybrid as of November 2026. The most remote-friendly roles tend to sit within Plano's technology and financial services employers.
How can I get a operations manager job in Plano with little or no experience?
The most realistic entry path in Plano is stepping into a team lead, shift supervisor, or operations coordinator role at one of the city's large logistics, retail, or corporate services employers, then building toward a manager title. Plano's concentration of distribution centers and corporate support operations means entry-level supervisory openings come up regularly. Candidates who can demonstrate process ownership, scheduling experience, or cross-department coordination in those roles move up quickly in this market.
Which industries hire the most operations managers in Plano?
Plano operations manager roles concentrate in Technology & Software, based on current listings on Migrate Mate as of November 2026. Plano's role as a headquarters city for major national corporations in financial services, telecommunications, and retail drives consistent demand for operations leadership that manages both corporate functions and large regional workforces.
See All 345+ Operations Manager Jobs in Plano
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