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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 Aug 17, 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 a 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.

What are the key skills and qualifications needed to thrive as a manager recommender systems?

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.

How does a manager 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.

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.

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Manager Recommender Systems jobs near you
Infographic showing various Manager Recommender Systems job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $111,995 per year, or $53.8 per hour.

Information Security Systems Officer

1 Accord Consulting LLC

Annapolis Junction, MD • On-site

$150K - $210K/yr

Full-time

Re-posted 21 days ago

Job description

1 Accord Consulting, LLC is a growing information and technology business founded on the basic principle of delivering customer mission success, while providing flexibility to maintain a work life balance. We hire the best, most driven, and talented people to help us support all our customers. With certified experts consulting our clients, we can address the customer’s mission.

Information Security Systems Officer

  • Information Systems Security Engineer Mid-Level: Seven (7) years’ experience as an ISSE on programs and contracts of similar scope, type, and complexity required. Bachelor’s degree in Computer Science, Information Assurance, Information Security System Engineering, or related discipline from an accredited college or university is required. DoD 8570 compliance with IASAE Level 2 is required. Four (4) years of ISSE experience may be substituted for a bachelor’s degree
  • TS with full scope poly Required

  • These Qualifications Would be Nice to Have:
  • Participate as a security engineering representative on engineering teams for the design, development, implementation and/or integration of secure networking, computing, and enclave environments
  • Participate as a security engineering representative on engineering teams for the design, development, implementation and/or integration of IA architectures, systems, or system components
  • Participate as the primary security engineering representative on engineering teams for the design, development, implementation, evaluation, and/or integration of secure networking, computing, and enclave environments
  • Participate as the primary security engineering representative on engineering teams for the design, development, implementation, evaluation, and/or integration of IA architectures, systems, or system components
  • Support the Government in the enforcement of the design and implementation of trusted relationships among external systems and architectures
  • Apply knowledge of IA policy, procedures, and workforce structure to design, develop, and implement secure networking, computing, and enclave environments
  • Support security planning, assessment, risk analysis, and risk management
  • Identify overall security requirements for the proper handling of Government data
  • Interact with the customer and other project team members
  • Perform system or network designs that encompass multiple enclaves, to include those with differing data protection/classification requirements
  • Provide security planning, assessment, risk analysis, and risk management
  • Recommend system-level solutions to resolve security requirements
  • Support the Government in the enforcement of the design and implementation of trusted relationships among external systems and architectures

1 Accord Consulting is a high-level engineering company providing a collaborative environment focused on technical excellence and meaningful contributions.