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Manager Meta Data Science Jobs in Chicago, IL (NOW HIRING)

Retail Execution - Demand Forecasting/Inventory Management/Supply Chain, CRM, Sales, and Operation ... Data Understanding of Sales, Inventory, Store, Product and Promotion Data * Ability to translate ...

... management Thorough knowledge and experience of taxonomy creation, including meta-data, content ... The art and science of organizing and labeling web sites, intranets, online communities, and ...

Data Scientist

Chicago, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

The team is responsible for protecting existing global data science environments, modernizing data ... teams or manage research internson a project basis,as needed. * Participate ininterviewing and ...

Showing results 41-60

Manager Meta Data Science information

See Chicago, IL salary details

$31.9K

$100.1K

$177.2K

How much do manager meta data science jobs pay per year?

As of Aug 16, 2026, the average yearly pay for manager meta data science in Chicago, IL is $100,073.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,000.00 and $129,300.00 per year, depending on experience, location, and employer.

What does a manager meta data science do?

A Manager of Meta Data Science leads a team of data scientists in developing and implementing advanced analytics, machine learning models, and data-driven strategies for Meta (formerly Facebook). They are responsible for overseeing projects, mentoring team members, collaborating with cross-functional partners, and ensuring that data science solutions align with business goals. This role often requires both technical expertise and strong leadership skills to drive impactful decisions using data. Additionally, they work to improve processes, set research direction, and communicate findings to stakeholders.

What are the key skills and qualifications needed to thrive as a manager meta data science?

To thrive as a Manager Meta Data Science, you need strong expertise in data science, machine learning, statistical analysis, and a relevant advanced degree, often in computer science, mathematics, or a related field. Familiarity with programming languages like Python or R, data visualization tools, and cloud-based platforms, as well as experience with big data frameworks, are typically required. Leadership, strategic thinking, and effective communication are crucial soft skills that enable success in managing teams and collaborating across departments. These skills are important because they ensure the ability to lead complex projects, drive data-driven decision-making, and align analytics goals with organizational objectives.

How does a manager meta data science typically collaborate with cross-functional teams, and what communication challenges might arise?

A Manager Meta Data Science frequently collaborates with product managers, engineers, data analysts, and business stakeholders to ensure data-driven decision-making aligns with organizational goals. One common challenge is translating complex data science concepts into actionable business insights that are easily understood by non-technical teams. Effective communication and regular alignment meetings are essential to bridge knowledge gaps and ensure everyone is on the same page. Building strong relationships across departments and fostering a culture of transparency can help mitigate misunderstandings and streamline project delivery.

What are the most commonly searched types of Meta Data Science jobs in Chicago, IL?

The most popular types of Meta Data Science jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Manager Meta Data Science jobs?

Cities near Chicago, IL with the most Manager Meta Data Science job openings:

Technical Project Manager (Data Science)

Vizient

Chicago, IL

$77K - $135K/yr

Full-time

Re-posted 29 days ago


Job description

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future.

Summary:

In this role, you will lead complex, enterprise-level technology initiatives within Data Science. You will partner closely with Data Science leadership, business stakeholders, architects, engineers, and external vendors to deliver projects that support Vizient's strategic priorities and long-term technology roadmap. You will ensure projects are delivered on time, within scope, and aligned with operational, security, and architectural standards while regularly communicates project progress, risks, and mitigation strategies.

Responsibilities:

  • Lead cross-functional Data Science projects from initiation to implementation and operational transition utilizing various methodologies.
  • Develop project artifacts including charters, schedules, budgets, status reports, and risk registers.
  • Drive accountability across technical teams, vendors, and business stakeholders.
  • Serve as primary liaison between business owners, Data Science teams, and vendors.
  • Facilitate project meetings, executive updates, and decision-making forums.
  • Communicate project status, risks, and mitigation plans to leadership and executives.
  • Proactively manage risks, issues, dependencies, and change requests.
  • Ensure project objectives align with business outcomes and enterprise technology strategy.
  • Partner with enterprise architects, infrastructure, and data science teams to ensure compliance with standards.
  • Translate technical concepts into business-focused communication for executives and non-technical stakeholders.
  • Oversee vendor deliverables, SOWs, and integration activities.

Qualifications:

  • Relevant degree preferred in Computer Science, Information Systems, Engineering, Business, or related field
  • 2 or more years of relevant experience with IT/Data Science project management and demonstrated success leading enterprise technical initiatives is required.
  • Experience leading small and large projects is required.
  • Experience working in a matrixed environment with cross-functional teams.
  • Strong understanding of Software Development Life Cycle (SDLC), infrastructure, cloud technologies, and enterprise platforms.
  • Proficiency with Smartsheet, MS Project, Jira, ServiceNow, or similar PM tools.
  • Strong communication and stakeholder management skills, including executive-level updates.
  • PMP, PgMP, or PMI-ACP certification highly preferred.
  • Experience supporting healthcare, analytics, or SaaS-based environments preferred.
  • Experience working within Complex IT processes, architecture, and governance preferred.
  • Demonstrated ability to take ownership, work independently, and drive results in a fast-paced environment.
  • Ability to manage multiple priorities, balance competing demands, and meet deadlines.

Estimated Hiring Range:

At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $77,400.00 to $135,400.00.

This position is also incentive eligible.

Vizient has a comprehensive benefits plan! Please view our benefits here:

http://www.vizientinc.com/about-us/careers

Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities

The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.