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Director Data Analytics Biotech Jobs in Michigan

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO North America's IT Digital Center (ITDC), responsible for defining the enterprise wide strategy for ...

Venteon is currently seeking a Senior Director of Data Analytics & AI to lead enterprise data strategy for a global manufacturing organization. This executive-level position will drive the ...

... analytics, and the data platform that supports them; translate that strategy into a 12-24 month ... Direct experience leading data science or ML work in at least one of the following domains ...

... analytics, and the data platform that supports them; translate that strategy into a 12-24 month ... Direct experience leading data science or ML work in at least one of the following domains ...

Analyze financial & key performance indicator deal data for trends and outliers * Directly advise ... Experience working within life sciences, healthcare, pharmaceutical, medical device, biotech, healt ...

About The Job Our Director of Data Science won't just analyze data; they'll breathe life into it, transforming intricate datasets into revolutionary insights that chart the course for our products.

About The Job Our Director of Data Science won't just analyze data; they'll breathe life into it, transforming intricate datasets into revolutionary insights that chart the course for our products.

Direct/W2 Belcan is adding to our team supporting upcoming and anticipated customer programs. We are looking for professionals perform Safety Investigation Data Analysis at one of our premier ...

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Director Data Analytics Biotech information

What are the key skills and qualifications needed to thrive as a Director of Data Analytics in Biotech, and why are they important?

To thrive as a Director of Data Analytics in Biotech, you need advanced expertise in data science, statistical analysis, and a strong foundation in life sciences, typically supported by a relevant advanced degree (e.g., PhD, MS). Familiarity with tools like Python, R, SQL, cloud computing platforms, and experience with data visualization and bioinformatics systems are essential, along with relevant certifications in data analytics or project management. Strong leadership, strategic thinking, and effective communication skills help you translate complex data into actionable insights and foster cross-functional collaboration. These competencies are critical for driving data-driven decision-making and innovation in a highly regulated, research-focused biotech environment.

What are the typical challenges faced by a Director of Data Analytics in the biotech industry, and how is success measured in this role?

A Director of Data Analytics in biotech often navigates challenges such as integrating complex datasets from various sources, ensuring data integrity, and translating analytics into actionable insights for research and business teams. Success in this role is typically measured by the ability to drive data-informed decision-making, improve efficiency in research pipelines, and support regulatory compliance through robust data practices. Additionally, effective leadership of cross-functional teams and fostering a culture of data literacy across the organization are key indicators of success.

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

AspectDirector Data Analytics BiotechData Scientist Biotech
Required CredentialsAdvanced degree (Master's/PhD), leadership experienceTypically Master's or PhD in Data Science, Statistics, or related field
Work EnvironmentStrategic leadership, team management, cross-department collaborationHands-on data analysis, model development, coding, and experimentation
Employer & Industry UsageBiotech companies, research institutions, pharma firmsBiotech firms, research labs, healthcare startups

The main difference is that the Director Data Analytics Biotech focuses on strategic oversight, team leadership, and aligning analytics with business goals, while the Data Scientist Biotech is more involved in technical data analysis, modeling, and coding tasks. Both roles require strong analytical skills and industry knowledge, but the director position emphasizes management and strategic planning.

What does a Director of Data Analytics do in the biotech industry?

A Director of Data Analytics in biotech leads teams that analyze large and complex biological and clinical datasets to support research, product development, and business decisions. They design data strategies, oversee data management, and implement analytics tools to extract meaningful insights from scientific data. Their work often supports areas like drug discovery, clinical trials, and market analysis, ensuring data-driven decisions throughout the organization. This role requires a strong background in both biotech and advanced analytics, as well as leadership skills to manage cross-functional teams.
What are popular job titles related to Director Data Analytics Biotech jobs in Michigan? For Director Data Analytics Biotech jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Director Data Analytics Biotech jobs in Michigan look for? The top searched job categories for Director Data Analytics Biotech jobs in Michigan are:
What cities in Michigan are hiring for Director Data Analytics Biotech jobs? Cities in Michigan with the most Director Data Analytics Biotech job openings:

Director- Data Analytics and AI

Denso

Southfield, MI • On-site

$181K - $226K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


DENSO rating

7.5

Company rating: 7.5 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers


Job description

Role Overview:

The Director, Data Analytics & Artificial Intelligence is a senior leadership role within DENSO North America's IT Digital Center (ITDC), responsible for defining the enterprise wide strategy for data, analytics, and AI and executing to deliver scalable, highimpact AI solutions across North American operations. This role serves as a key enabler of DENSO's AI first, data driven operating model. This role partners closely with technology and business leaders to translate data and AI capabilities into measurable business value while ensuring strong governance, security, and ethical AI practices.

 Essential duties and responsibilities:

  • Define and execute the enterprise data analytics and AI vision aligned with DENSO's digital transformation strategy.
  • Lead development and deployment of advanced analytics, machine learning, and AI use cases.
  • Establish scalable data platforms, analytics products, and AI pipelines in collaboration with cloud, data engineering, and cybersecurity teams.
  • Partner with business and functional leaders to identify high-impact use cases and drive measurable ROI from analytics and AI investments.
  • Build and lead high-performing teams of data scientists, analytics engineers, and AI product leaders.
  • Define data governance, model lifecycle management, and responsible AI standards to ensure compliance, security, and trust.
  • Oversee external partnerships with technology vendors, system integrators, and research institutions.
  • Champion data literacy and analytics adoption across the organization through change management and enablement.

Qualifications:

  • Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; Master's degree preferred.
  • 10+ years of experience in data analytics, AI, or advanced analytics, with at least 5 years in a leadership role.
  • Proven experience delivering Analytics and AI solutions at enterprise scale, preferably in manufacturing, automotive, or industrial environments.
  • Strong understanding of data architecture, cloud platforms, advanced analytics, and AI/ML lifecycle management.
  • Demonstrated ability to translate complex technical concepts into business outcomes for senior executives.
  • Experience leading global or cross-functional teams in a matrixed organization.
  • Strong leadership, communication, and stakeholder management skills.

Preferred Experience:

  • Experience with AI applications in manufacturing, quality inspection, predictive maintenance, or mobility systems.
  • Hands-on familiarity with modern data and AI platforms (cloud-native analytics, AI platforms, and data governance tools).
  • Experience establishing responsible AI, model risk management, and data ethics frameworks.

Benefits Summary: 

  • Medical, Dental, Vision, Prescription Drug plans 
  • 401K with 4% Company Match 
  • Vacation/PTO and 13 paid Holidays  
  • Bonus Program 
  • FSA/HSA and Dependent Care Programs 
  • Company provided Life, Disability, ADD and Business Travel Insurance 
  • Various No Cost Wellness & Chronic Condition Management Programs 
  • Various Optional Insurance programs such as legal, identity theft, critical illness, etc. 
  • Tuition Reimbursement 
  • Career Development and Ongoing Training 
  • Employee Assistance Program 
  • Employee Spotlight and Recognition Program  
  • Volunteer Opportunities 
  • Onsite Fitness Center (vary by location) 
  • Cafeteria and food markets (vary by location) 
  • Onsite Health Clinic and Pharmacy (vary by location) 

Annual Salary: $181,000 - $226,000


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