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Manager Predictive Analytics Jobs in Baltimore, MD

Manage and merge disparate data sources using R, Python , or SQL * Apply expertise in large data Multi-INT analytics , machine learning, and automated predictive analytics * Collaborate with Data ...

Manage and merge disparate data sources using R, Python , or SQL * Apply expertise in large data Multi-INT analytics , machine learning, and automated predictive analytics * Collaborate with Data ...

Manage and merge disparate data sources using R, Python , or SQL * Support application of Multi-INT analytics , machine learning, and automated predictive analytics under senior guidance

Manage and merge disparate data sources using R, Python , or SQL * Support application of Multi-INT analytics , machine learning, and automated predictive analytics under senior guidance

Manage and merge disparate data sources using R, Python , or SQL * Apply expertise in large data Multi-INT analytics , machine learning, and automated predictive analytics * Collaborate with Data ...

Manage and merge disparate data sources using R, Python , or SQL * Support application of Multi-INT analytics , machine learning, and automated predictive analytics under senior guidance

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Showing results 1-20

Manager Predictive Analytics information

See Baltimore, MD salary details

$64.1K

$124.5K

$177.9K

How much do manager predictive analytics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for manager predictive analytics in Baltimore, MD is $124,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,400.00 and $148,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a manager predictive analytics?

To thrive as a Manager Predictive Analytics, you need a strong background in statistics, data analysis, and predictive modeling, often supported by a degree in mathematics, statistics, computer science, or a related field. Expertise with analytics tools such as Python, R, SQL, and familiarity with machine learning platforms, as well as relevant certifications like SAS or AWS Certified Machine Learning, is typically expected. Outstanding leadership, communication, and problem-solving skills help in leading teams and translating complex insights for stakeholders. These abilities ensure data-driven decision-making, effective project management, and impactful business outcomes.

What are the main challenges faced by a manager predictive analytics, and how can they be addressed?

A Manager of Predictive Analytics often encounters challenges such as ensuring data quality, bridging communication gaps between technical teams and business stakeholders, and keeping up with rapidly evolving analytical tools and techniques. Addressing these challenges requires fostering strong cross-functional collaboration, implementing robust data governance practices, and encouraging continuous learning among team members. Additionally, setting clear project objectives and maintaining alignment with business goals can help deliver actionable insights and maximize the impact of predictive analytics initiatives.

What is the difference between Manager Predictive Analytics vs Data Scientist?

AspectManager Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Analytics, Statistics, or related field; often managerial certificationsBachelor's or Master's in Data Science, Statistics, or related field; sometimes PhDs
Work EnvironmentLeads teams, manages projects, collaborates with business unitsDevelops models, analyzes data, experiments with algorithms
Employer & Industry UsageBusiness, finance, marketing, healthcare organizationsTech companies, research institutions, finance, healthcare

While both roles focus on data analysis, the Manager Predictive Analytics oversees teams and strategic projects, whereas Data Scientists primarily develop models and conduct in-depth data analysis. The manager role emphasizes leadership and project management, often requiring experience in analytics tools and business acumen, while Data Scientists focus on technical expertise in algorithms and programming.

What is a manager predictive analytics?

A Manager Predictive Analytics is a professional responsible for overseeing teams and projects that use statistical techniques, machine learning, and data analysis to forecast future trends and support business decision-making. They manage the development and implementation of predictive models, ensuring data quality and actionable insights for their organization. In addition to technical expertise, they coordinate with stakeholders to align analytics initiatives with business goals and often mentor data analysts or data scientists within their team.

What are the most commonly searched types of Predictive Analytics jobs in Baltimore, MD?

The most popular types of Predictive Analytics jobs in Baltimore, MD are:

What job categories do people searching Manager Predictive Analytics jobs in Baltimore, MD look for?

The top searched job categories for Manager Predictive Analytics jobs in Baltimore, MD are:

Manager, Data Analytics - ID/STRAT & Program Evaluation (Hybrid)

CareFirst

Baltimore, MD • On-site, Remote

Full-time

Retirement

Posted 21 days ago


CareFirst BlueCross BlueShield rating

7.3

Company rating: 7.3 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

237th of 308 rated insurance


Job description

Resp & Qualifications

PURPOSE: 
Purpose of the Manager, Data Analytics is to execute business objectives with data and ensure alignment with the vision of the company. Individual will organize the technology, processes and financial resources necessary to address the current and future analytics needs of the business. Provides thought leadership and acts as a subject matter expert in the designing and recommending of appropriate analytical approaches and methodologies. Provides management responsibility into data-driven insights that inform the business's strategic direction.

We are looking for an experienced professional to live and work remotely from within the greater Baltimore/Washington metropolitan area. The incumbent will be expected to come into a CareFirst location periodically for meetings, training and/or other business-related activities.  

In this role, the primary responsibility will be to manage a team of individuals supporting the analytics, reporting and data governance activity for work related to Member Identification/Stratification (ID/STRAT), Attribution/Program Assignment, Data Extracts/Sharing, Population Health Management, Predictive Modeling and Program Evaluation. In addition, we will look to this individual to help support items like AI implementations, partnerships with our IT/Data Management teams, vendor support (ex: Milliman MedInsights) and other related functions.

We are looking for individuals that have experience not only in these domains but also experience in building and managing high-performing analytics teams that can deliver work consistently and transparently to our business partners, both internal and external. As such, prior healthcare analytics experience is a must; we are not looking for generalists who may have an IT background and various credentials like Scrum, Agile, etc. as this experience will not meet our needs.

If you have the right experience and an interest in working at CareFirst to make meaningful, measurable differences in our members' lives, especially in terms of affordability, quality and member experience, please consider applying as we'd love to speak with you. Please see below for the core job description and additional details about the role.
ESSENTIAL FUNCTIONS:

  • Manage a team of individuals supporting the analytics, reporting and data governance activity for work related to Member Identification/Stratification (ID/STRAT), Attribution/Program Assignment, Data Extracts/Sharing, Population Health Management, Predictive Modeling and Program Evaluation. Manage a team with a focus on the development of analytics capabilities across the company, including self-service capabilities through technology implementation, best practices and training. Ensure team members serve as a trusted advisor to clients on analytics and data.
  • Interpret statistical analyses and help clients derive meaning from them.
  • Develop and deliver presentations and reports of analytic findings
  • Develop hypotheses and research questions to address clients' needs. Conduct a wide range of quantitative, qualitative, and mixed-methods analyses to answer clients' research questions.
  • Develop analytic frameworks and select appropriate analytic methods to answer clients' research questions.
  • Partner with stakeholders to understand data requirements and with internal and/or external resources to develop tools and services such as segmentation, modeling, dashboard development, decision aids, and business case analysis to support the organization.
  • Uses multiple data sets to create reports and data presentations, and eventually creating data dashboards, for leadership and managerial use.

SUPERVISORY RESPONSIBILITY:
This position manages people.
QUALIFICATIONS:
Education Level: Bachelor's Degree in Computer Science, Information Systems or related field OR in lieu of a Bachelor's degree, an additional 4 years of relevant work experience is required in addition to the required work experience.

Licenses/Certifications Upon Hire Preferred:

  • Data Management\Certified Analytics Professional (CAP) or
  • Data Management\MapR Certified Data Analyst

Experience: 5 years Progressive experience relating to data analytics/data analysis. 1-year Supervisory experience or demonstrated progressive experience.
Preferred Qualifications:

  • Master's Degree
  • Conceptual data and cloud architecture - understands major native data components in Azure and/or AWS and their relationships and use cases
  • Mastery of relational database theory include SQL and at least one major RDBMS
  • Well versed in Big Data scenarios and applications
  • Experience with multiple analytics delivery tools, methods, and platforms including PowerBI and/or Tableau
  • Understanding of Advanced Analytics use cases and the applications of AI/ML for predictive analytics 
  • Experience in building and managing high-performing analytics teams that can deliver work consistently and transparently to our business partners, both internal and external
  • Prior healthcare analytics experience is a must

Knowledge, Skills and Abilities (KSAs)

  • Strong quantitative and qualitative skills.
  • Knowledge and understanding of analytical tools, such as SAS, Excel, SQL.
  • Excellent communication skills both written and verbal.
  • Ability to train others.
  • Must be able to meet established deadlines and handle multiple customer service demands from internal and external customers, within set expectations for service excellence. Must be able to effectively communicate and provide positive customer service to every internal and external customer, including customers who may be demanding or otherwise challenging.

Salary Range: 127,360 - 236,412

Salary Range Disclaimer

The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the work is being performed. This compensation range is specific and considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, internal peer equity, and market and business consideration. It is not typical for an individual to be hired at the top of the range, as compensation decisions depend on each case's facts and circumstances, including but not limited to experience, internal equity, and location. In addition to your compensation, CareFirst offers a comprehensive benefits package, various incentive programs/plans, and 401k contribution programs/plans (all benefits/incentives are subject to eligibility requirements).

Equal Employment Opportunity

CareFirst BlueCross BlueShield is an Equal Opportunity (EEO) employer.  It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.

Federal Disc/Physical Demand

Note:  The incumbent is required to immediately disclose any debarment, exclusion, or other event that makes him/her ineligible to perform work directly or indirectly on Federal health care programs.

PHYSICAL DEMANDS:

The associate is primarily seated while performing the duties of the position.  Occasional walking or standing is required.  The hands are regularly used to write, type, key and handle or feel small controls and objects.  The associate must frequently talk and hear.  Weights up to 25 pounds are occasionally lifted.

Sponsorship in US

Must be eligible to work in the U.S. without Sponsorship

#LI-KL1 


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