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Manager Recommender Systems Jobs (NOW HIRING)

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Business Systems Manager

Warwick, RI · On-site

$70K - $75K/yr

The role collaborates with business users, project managers, developers, and other stakeholders to ... Perform gap analysis and recommend system enhancements. * Support system testing, user acceptance ...

Veteran-friendly

Overview The Systems Manager is responsible for the operational ownership, administration, support ... Stays abreast of emerging tech trends and best practices, recommend system enhancements, and drive ...

Overview The Systems Manager is responsible for the operational ownership, administration, support ... Stays abreast of emerging tech trends and best practices, recommend system enhancements, and drive ...

The Systems Manager provides ongoing support, troubleshooting, issue resolution, and continuous ... Stays abreast of emerging tech trends and best practices, recommend system enhancements, and drive ...

Systems Manager

Southfield, MI · On-site

$90 - $150/hr

The Systems Manager is responsible for the operational ownership, administration, support ... Stays abreast of emerging tech trends and best practices, recommend system enhancements, and drive ...

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Manager Recommender Systems information

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$197K

How much do manager recommender systems jobs pay per year?

As of Sep 7, 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.

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:

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 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $111,995 per year, or $53.8 per hour.

Business Systems Manager

The Dome Companies

Warwick, RI • On-site

Veteran-friendly

$70K - $75K/yr

Full-time

PTO

Posted 5 days ago

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Job description

A Business Systems Analyst (BSA) serves as the bridge between business stakeholders and technical teams, ensuring that business needs are translated into effective technology solutions.

Business Systems Analyst Job Description

Job Title: Business Systems Analyst

Job Summary:
The Business Systems Analyst analyzes business processes, identifies system requirements, and recommends technology solutions that improve operational efficiency and support organizational goals. The role collaborates with business users, project managers, developers, and other stakeholders to implement and optimize business systems.

Key Responsibilities

  • Gather, document, and analyze business requirements from stakeholders.
  • Evaluate existing business processes
  • and identify opportunities for improvement.
  • Translate business requirements into functional and technical specifications.
  • Collaborate with development, testing, and support teams throughout the project lifecycle.
  • Create process flows, use cases, user stories, and system documentation.
  • Facilitate meetings, workshops, and requirements-gathering sessions.
  • Perform gap analysis and recommend system enhancements.
  • Support system testing, user acceptance testing (UAT), and deployment activities.
  • Monitor system performance and troubleshoot business process issues.
  • Train end users and provide ongoing support for implemented solutions.


Must have experience in a manufacturing environment, data tools, and working knowledge of ERP systems.

Preferred: Experience in Sage 100