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Director Predictive Analytics Jobs in Miami, FL (NOW HIRING)

... the Director, Data Solutions Engineering The position is onsite and based in Miramar, Florida ... and Predictive Analytics. * Anticipates and analyzes trends in technology while assessing the ...

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I.-supported data analytics and predictive analytics, dynamic dashboards and reporting, HEDIS gap ... Coordinate cross-functional projects directed by the CEO, following up with stakeholders to ensure ...

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I.-supported data analytics and predictive analytics, dynamic dashboards and reporting, HEDIS gap ... Coordinate cross-functional projects directed by the CEO, following up with stakeholders to ensure ...

... improve predictive analytics - Collaborating with stakeholders to address data challenges and ... At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship ...

Data Analytics Engineer

Miami Lakes, FL · On-site

$103K - $124K/yr

They must be self-directed and comfortable supporting the data needs of multiple teams, systems and ... Develops and tests architectures that enable data extraction and transformation for predictive or ...

... analysis, and predictive indicators to identify clinical, operational, workforce, and compliance risks. Develops actionable recommendations and collaborates with organizational leadership to ...

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Director Predictive Analytics information

See Miami, FL salary details

$96.1K

$127K

$153K

How much do director predictive analytics jobs pay per year?

As of Sep 3, 2026, the average yearly pay for director predictive analytics in Miami, FL is $127,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,600.00 and $135,300.00 per year, depending on experience, location, and employer.

What does a director of predictive analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.

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

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What are the typical collaboration points for a director of predictive analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

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

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What are the most commonly searched types of Predictive Analytics jobs in Miami, FL?

The most popular types of Predictive Analytics jobs in Miami, FL are:

What cities near Miami, FL are hiring for Director Predictive Analytics jobs?

Cities near Miami, FL with the most Director Predictive Analytics job openings:

Infrastructure Architect (Modernization), Digital & Technology Services

Alvarez & Marsal

Miami, FL • On-site

$63.25 - $80.75/hr

Full-time

Medical, Life, Retirement, PTO

Re-posted 8 days ago


Alvarez & Marsal rating

7.2

Company rating: 7.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

51st of 72 rated business consultants


Job description

Description
About Alvarez & Marsal
Alvarez & Marsal (A&M) is a global consulting firm with over 10,000 entrepreneurial, action and results-oriented professionals in over 40 countries. We take a hands-on approach to solving our clients' problems and assisting them in reaching their potential. Our culture celebrates independent thinkers and doers who positively impact our clients and shape our industry. The collaborative environment and engaging work-guided by A&M's core values of Integrity, Quality, Objectivity, Fun, Personal Reward, and Inclusive Diversity-are why our people love working at A&M.
The Team
Alvarez & Marsal's Corporate Performance Improvement practice is looking for an Infrastructure Architect to lead large-scale infrastructure and network modernization, cloud readiness assessment, and architecture transformation for clients operating complex, legacy-heavy technology environments. This role requires someone who has redesigned enterprise infrastructure architectures at scale-not just optimized existing environments. The candidate should be well versed in the latest market trends in infrastructure technology transformation.
Experience Should Include
  • Data center architecture, infrastructure consolidation, and legacy system modernization at enterprise scale
  • Cloud readiness assessment, migration planning, and hybrid/multi-cloud architecture design (AWS, Azure, GCP)
  • Virtualization strategy and optimization (compute, storage, and hyperconverged infrastructure)
  • Infrastructure-as-Code (IaC), automation frameworks, and CI/CD pipeline architecture
  • Legacy application assessment, refactoring strategies, and containerization/Kubernetes readiness
  • Storage modernization, database migration, and data architecture consolidation
  • Infrastructure security modernization, compliance mapping, and zero-trust infrastructure principles
  • Capacity planning, performance baseline analysis, and cost modeling across infrastructure footprint
  • AI-driven infrastructure monitoring, predictive analytics, and optimization tooling-baseline competency with AI-assisted tools expected; candidates should articulate how AI accelerates infrastructure analysis and optimization
  • Government and regulated environments-direct experience with federal infrastructure standards is a strong advantage and preferred for this role
  • Vendor evaluation, negotiation, and optimization of infrastructure contracts and commercial agreements
How you will contribute
  • Lead infrastructure assessment and baseline analysis-topology mapping, capacity utilization, performance bottleneck identification, and cost modeling
  • Design modernized target infrastructure architectures (cloud-native, hybrid, or optimized on-premises) aligned to business requirements and cloud migration roadmaps
  • Assess cloud readiness, identify gaps in skills/tooling/governance, and develop phased migration strategy with sequencing logic
  • Develop infrastructure automation and IaC implementation roadmaps to reduce manual toil and improve deployment velocity
  • Evaluate dependencies between infrastructure modernization, application refactoring, and broader digital transformation initiatives
  • Define and integrate infrastructure findings into A&M's broader engagement scope and deliverables
  • Support practice development through internal training, content creation, and people development
Qualifications
  • 8-12+ years of professional experience in infrastructure architecture for complex, large enterprises, with consulting or advisory delivery
  • Demonstrated experience leading infrastructure modernization, cloud migration, or large-scale transformation programs
  • Federal infrastructure environment experience preferred-deep modernization experience in regulated industries (financial services, healthcare, government) can substitute
  • Bachelor's degree required; cloud certifications (AWS Solutions Architect, Azure Administrator), infrastructure certifications (CISSP, ITIL Master), or equivalent strongly preferred
  • Comfortable with travel up to 80%
  • Full-time, contract, and project-based engagements available
What Distinguishes a Great Candidate
Has designed and led large-scale infrastructure and network modernization programs-not just operated existing systems. Understands the dependency between infrastructure readiness and application modernization success. Can work across infrastructure, security, operations, and business teams. Brings AI-assisted infrastructure analysis into the delivery toolkit as standard practice. Comfortable designing for hybrid and multi-cloud environments without being prescriptive about platform choice.
Your journey at A&M
We recognize that our people are the driving force behind our success, which is why we prioritize an employee experience that fosters each person's unique professional and personal development. Our robust performance development process promotes continuous learning, rewards your contributions, and fosters a culture of meritocracy. With top-notch training and on-the-job learning opportunities, you can acquire new skills and advance your career.
We prioritize your well-being, providing benefits and resources to support you on your personal journey. Our people consistently highlight the growth opportunities, our unique, entrepreneurial culture, and the fun we have together as their favorite aspects of working at A&M. The possibilities are endless for high-performing and passionate professionals.
Regular employees working 30 or more hours per week are also entitled to participate in Alvarez & Marsal Holdings' fringe benefits consisting of healthcare plans, flexible spending and savings accounts, life, AD&D, and disability coverages at rates determined periodically as well as a 401(k) retirement savings plan. Provided the eligibility requirements are met, employees will also receive an annual discretionary contribution to their 401(k) retirement savings plan from Alvarez & Marsal. Additionally, employees are eligible for paid time off including vacation, personal days, seventy-two (72) hours of sick time (prorated for part time employees), ten federal holidays, one floating holiday, and parental leave. The amount of vacation and personal days available varies based on tenure and role type. Click here for more information regarding A&M's benefits programs.
The salary range for Manager is $135,000 - $160,000 annually and Director is $150,000 - $210,000 annually, dependent on several variables including but not limited to education, experience, skills, and geography. In addition, A&M offers a discretionary bonus program which is based on a number of factors, including individual and firm performance. Please ask your recruiter for details.
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