Operations Research Advisor

About the role

A Principal in Data Science and Operations Research (DSOR) Enablement is a senior-level role responsible for leading the integration of advanced analytics and operations research methodologies across the organization, driving optimization of business processes and decision-making. They collaborate with cross-functional teams to identify strategic opportunities and implement data-driven solutions that align with organizational goals. With a deep understanding of both business operations and technical methodologies, they provide strategic direction, mentorship, and technical expertise, empowering DSOR practitioners to deliver impactful insights and solutions. They play a key role in influencing leadership through effective communication, ensuring that DSOR initiatives deliver impactful, value-driven outcomes.

Responsibilities

• Provide strategic leadership and vision for the “startup” of the DSOR Enablement function
• Lead and inspire DSOR initiatives, driving innovative, data-driven solutions that optimize business processes and support growth
• Provide strategic guidance, setting clear priorities, and ensuring effective execution of DSOR projects from hypothesis to deliverable
• Mobilize and mentor cross-functional teams, fostering a culture of curiosity, experimentation, and continuous improvement
• Support the design of user-centric products that align with business goals, enhancing decision-making and user engagement
• Communicate complex DSOR concepts clearly to stakeholders, influencing leadership and ensuring alignment with enterprise objectives
• Track progress and ensure accountability for project milestones, delivering impactful solutions that maximize the value of DSOR initiatives
• Author and propagate best practices for the DSOR discipline to facilitate a culture that advances DSOR globally

Requirements

• 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 complex projects.
• Practitioner or practitioner-adjacent experience in analytics, data science, operations research, or a related field inclusive of prototyping and rapid experimentation

Preferred Qualifications

• Preferred locations include Memphis, TN; Pittsburgh, PA; or Plano, TX.

Pay

Pay ranges by location (monthly):

• USA: $9,208.38 – $20,872.33
• Colorado: $9,208.38 – $20,002.65
• California: $9,719.96 – $16,575.08
• New Jersey: $9,719.96 – $15,551.93
• Maine, Ohio & Vermont: $9,719.96 – $17,393.61
• Minnesota: $9,719.96 – $19,132.97
• Illinois & Nevada: $9,719.96 – $20,002.65
• Maryland, New York, Virginia & Washington: $9,719.96 – $20,872.33
• Massachusetts: $10,231.53 – $20,872.33
• Rhode Island: $11,254.69 – $19,132.97
• Connecticut: $11,254.69 – $20,002.65
• District of Columbia & Hawaii: $11,766.26 – $20,002.65
• New York City: $11,766.26 – $20,872.33

Actual pay is determined by several job-related factors permitted by law and relevant to the position, including experience, tenure, market level, pay at the location, performance, schedule, and work assignment.