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Director Predictive Analytics Jobs in Colorado (NOW HIRING)

Vertafore

AI Engineering Leader

Denver, CO · On-site

$200K - $300K/yr

... and predictive analytics. These systems are in production, serving thousands of agencies and ... direct people management or formal tech lead experience with responsibility for team delivery

Vertafore

AI Engineering Leader

Denver, CO · On-site

$200K - $300K/yr

... and predictive analytics. These systems are in production, serving thousands of agencies and ... direct people management or formal tech lead experience with responsibility for team delivery

Advanced Energy

Demand Planner

Denver, CO · On-site

Leverage predictive analytics to enhance forecast precision and scenario modeling. Inventory ... Experience in a global, multi-channel environment (direct and distributor sales preferred)

Pwc

AI & GenAI Data Scientist - Manager

Denver, CO · On-site

$99K - $232K/yr

... 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 ...

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Director Predictive Analytics information

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 Colorado?

The most popular types of Predictive Analytics jobs in Colorado are:

What cities in Colorado are hiring for Director Predictive Analytics jobs?

Cities in Colorado with the most Director Predictive Analytics job openings:

Director Predictive Analytics jobs near you

Sr Engineer, FW & Product Test

Micron Technology, Inc

Longmont, CO • On-site

$111 - $189/hr

Other

Medical, Dental, Vision, PTO

Posted 16 days ago

Micron Technology rating

8.6

Company rating: 8.6 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

26th of 161 rated electronics manufacturers

Job description

Req ID: JR108872 Sr Engineer, FW & Product Test

Our vision is to transform how the world uses information to enrich life for all.

Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever.

Summary of the Role

The Sr. Engineer (E3) on the Firmware & Product Testing (FPT) team supports the validation of enterprise SSD firmware through test development, automation, execution, and failure analysis. This role focuses on NVMe front-end features and customer specifications while leveraging Python-based automation and data-driven techniques to improve test coverage, efficiency, and product quality. Working closely with firmware engineers, senior mentors, and AI/ML contributors, the engineer will gain hands‑on experience at the intersection of firmware validation and artificial intelligence, helping drive innovative and scalable testing solutions.

Department Introduction

The Firmware & Product Test (FPT) team at Micron Technology plays a critical role in validating SSD firmware functionality and compliance. The team develops comprehensive verification plans, implements automated test solutions in Python, and ensures adherence to NVMe standards and security requirements. Validation activities span simulation, FPGA prototyping, and hardware platforms, utilizing white-box, grey-box, and black-box methodologies throughout the firmware development lifecycle.

Key Responsibilities
  • Develop and execute firmware verification plans for enterprise SSD customer specifications and NVMe front‑end features, including SMART, Trim, Get Log Page, and OCP compliance.
  • Design, implement, and maintain automated test solutions using Python and established FPT frameworks to improve test coverage and regression efficiency.
  • Apply white‑box, grey‑box, and black‑box testing methodologies to validate firmware functionality, reliability, and robustness.
  • Investigate test failures, perform root cause analysis, and document findings while collaborating with firmware and cross‑functional engineering teams.
  • Communicate validation results, quality metrics, risks, and mitigation plans to stakeholders and management.
  • Participate in code reviews and continuous improvement initiatives to enhance automation quality, maintainability, and testing effectiveness.
  • Leverage AI‑assisted development tools, Generative AI, and AI‑driven workflows to accelerate test creation, debugging, data analysis, and reporting.
  • Collaborate with firmware engineers, data scientists, and AI/ML practitioners to develop intelligent automation solutions for anomaly detection, failure analysis, and validation workflow optimization.
Required Qualifications
  • Bachelor's degree with approximately 3+ years of relevant experience, or a Master's degree in Computer Science, Data Science, Electrical/Computer Engineering, or a related field.
  • Strong Python programming skills with experience in automation, scripting, and data analysis using libraries such as NumPy and pandas.
  • Solid understanding of software testing fundamentals, including test automation, debugging, and validation methodologies.
  • Demonstrated analytical and problem‑solving skills, with the ability to investigate complex technical issues and interpret data‑driven results.
  • Experience or demonstrated interest in Artificial Intelligence, including the use of AI tools, Large Language Models (LLMs), prompt engineering, or AI‑assisted software development workflows.
Preferred Skills
  • Experience with NVMe protocols, SSD firmware validation, embedded systems, or hardware testing concepts.
  • Exposure to machine learning frameworks and techniques, such as TensorFlow, PyTorch, scikit‑learn, anomaly detection, or predictive analytics.
  • Familiarity with software development best practices, including Git, CI/CD pipelines, code reviews, and agile development methodologies.
  • Experience building or integrating AI‑powered automation solutions using Generative AI, LLMs, Agentic AI frameworks, or AI copilots.
  • Hands‑on experience leveraging AI‑assisted development tools such as GitHub Copilot, Microsoft Copilot, Claude Code, or similar productivity platforms.

Micron Technology is committed to advancing memory and storage solutions through engineering excellence, cross‑functional collaboration, and responsible innovation.

Job Profile(s):

Firmware Engineer 3

Relocation Level: TBD

Before Getting Started
  • Hiring managers may view your performance appraisals, original resume, transcripts or other performance‑related documentation in your personal file. This information will be held in confidence.
  • If you are selected to interview for a position, you must notify your direct supervisor before participating in the interview process.

The US base salary range that Micron Technology estimates it could pay for this full‑time position is:

$111,000.00 - $189,000.00 a year

Additional compensation may include benefits, bonuses and equity.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job‑related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time‑off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on Benefits | Micron Technology, Inc

Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws.

To learn about your right to work

For US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron’s People Organization at hrsupport_na@micron.com or 1-800-336-8918 (select option #3)

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