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Manager Recommender Systems Jobs (NOW HIRING)

Pearson

Specialist, Researcher

... closely with psychometrics, product management, learning science, AI science, content ... Support research related to learner models, domain models, recommender systems, adaptive feedback ...

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Manager Recommender Systems information

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$46K

$112K

$197K

How much do manager recommender systems jobs pay per year?

As of Jun 12, 2026, the average yearly pay for manager recommender systems in the United States is $111,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Manager Recommender Systems vs Data Scientist?

AspectManager Recommender SystemsData Scientist
CredentialsAdvanced degree in CS, ML, or related field; experience with recommender algorithmsDegree in CS, Statistics, or related; strong programming and analytical skills
Work EnvironmentLeading teams, overseeing recommender system projects, collaborating with product teamsAnalyzing data, building models, interpreting results across various domains
Industry UsageTech companies, e-commerce, streaming services

While both roles require strong technical skills and data expertise, Manager Recommender Systems focus on leading teams and managing recommender system projects, whereas Data Scientists primarily analyze data and develop models across diverse applications.

What are the key skills and qualifications needed to thrive as a Manager, Recommender Systems, and why are they important?

To thrive as a Manager, Recommender Systems, you need a solid background in computer science, machine learning, and data analytics, typically supported by a relevant degree and experience in building recommendation algorithms. Familiarity with programming languages like Python or Scala, machine learning frameworks, and big data platforms such as Spark or Hadoop is essential, along with knowledge of A/B testing and model evaluation techniques. Strong leadership, project management, and cross-functional communication skills distinguish top performers in this role. These skills ensure effective team guidance, robust system development, and alignment of technical solutions with business goals in a fast-evolving digital landscape.

What are Manager Recommender Systems?

A Manager of Recommender Systems is a professional who oversees the development and deployment of algorithms that suggest products, services, or content to users based on their preferences and behavior. They lead teams of data scientists, engineers, and analysts to design, implement, and optimize recommendation engines. Their role involves strategic planning, project management, and ensuring that the recommender systems align with business goals while delivering a personalized user experience.

How does a Manager of Recommender Systems typically collaborate with data scientists and engineers to deliver effective recommendation solutions?

As a Manager of Recommender Systems, you will frequently coordinate cross-functional efforts between data scientists, machine learning engineers, and product teams. Your role involves setting project priorities, facilitating communication to ensure clear understanding of objectives, and removing roadblocks that may impede progress. You’ll also oversee the translation of business requirements into technical solutions, review algorithm performance, and guide the team in iterative model improvements. Regular collaboration ensures that the recommendations delivered align with both user needs and business goals.
More about Manager Recommender Systems jobs
What cities are hiring for Manager Recommender Systems jobs? Cities with the most Manager Recommender Systems job openings:
What are the most commonly searched types of Recommender Systems jobs? The most popular types of Recommender Systems jobs are:
What states have the most Manager Recommender Systems jobs? States with the most job openings for Manager Recommender Systems jobs include:
What job categories do people searching Manager Recommender Systems jobs look for? The top searched job categories for Manager Recommender Systems jobs are:
Manager Recommender Systems jobs near you
Infographic showing various Manager Recommender Systems job openings in the United States as of June 2026, with employment types broken down into 90% Part Time, and 10% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $111,995 per year, or $53.8 per hour.

Business Systems Analyst

Avanciers LLC

Minneapolis, MN • Hybrid

Other

Posted yesterday

Job description

Systems Analyst (Technical) – Drug Cost Estimator & Provider Search

Location: Minnepolis, Minnesota (Hybrid – 4 Days Onsite/Week)

Overview

We are seeking a technically strong Systems Analyst to support our Drug Cost Estimator (DCE) and Provider Search (PS) platforms. This role will partner with Product, Business, Engineering, and QA teams to translate complex business requirements into detailed technical specifications, system workflows, and integration solutions.

Key Responsibilities

  • Translate business and regulatory requirements into detailed system requirements, technical user stories, and functional specifications.
  • Analyze end-to-end system behavior, including front-end applications, APIs, backend services, and downstream systems.
  • Define and document complex business logic related to drug pricing, benefit eligibility, provider search, filtering, ranking, and network participation.
  • Create and maintain technical artifacts such as data flow diagrams, sequence diagrams, data mappings, and integration documentation.
  • Define API interactions, service orchestration, data transformations, and system dependencies.
  • Partner with Product Managers, Business Analysts, Product Owners, Engineering, and QA teams throughout the development lifecycle.
  • Support Agile ceremonies including backlog grooming, sprint planning, feature refinement, testing, and UAT.
  • Investigate production issues, perform root cause analysis, and recommend system, data quality, and performance improvements.

Required Qualifications

  • 3+ years of experience as a Systems Analyst, Technical Analyst, or similar role.
  • Strong experience with APIs, system integrations, distributed systems, and service-oriented architectures.
  • Expertise in data analysis, data modeling, data mapping, and system documentation.
  • Experience writing detailed technical requirements, user stories, and system specifications.
  • Strong understanding of complex rule-based systems and data-driven applications.
  • Experience working in Agile/Scrum or SAFe environments.
  • Excellent analytical, troubleshooting, and communication skills.

Preferred Qualifications

  • Experience in Healthcare, Pharmacy, Health Insurance, or Provider Data environments.
  • Knowledge of drug pricing, formularies, benefit plans, eligibility systems, and provider search platforms.
  • Familiarity with provider directories, network management, search/indexing services, and pricing engines.
  • Exposure to AI/ML, recommendation systems, or personalization platforms is a plus.

Apply