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Director Data Analytics Biotech Jobs in Ohio (NOW HIRING)

AVI Foodsystems

Head of Data & Analytics

Warren, OH

... Head of Data & Analytics. Founded in 1960, AVI Foodsystems has evolved into one of the most ... Conduct direct customer visits to understand how clients interact with our data products. Use these ...

AVI Foodsystems

Head of Data & Analytics

Akron, OH · On-site

$150 - $210/hr

... Head of Data & Analytics. Founded in 1960, AVI Foodsystems has evolved into one of the most ... Conduct direct customer visits to understand how clients interact with our data products. Use these ...

Essilor

Director Data Protection

Mason, OH · On-site

GENERAL FUNCTION The Director - Data Protection (EyeMed) leads and oversees all ongoing activities ... Interacts and provide reporting analysis to executive-level leadership on all privacy issues.

EssilorLuxottica

Director Data Protection

Mason, OH · On-site

GENERAL FUNCTION The Director - Data Protection (EyeMed) leads and oversees all ongoing activities ... Interacts and provide reporting analysis to executive-level leadership on all privacy issues.

Capgemini Invent

$113.89 - $148.06/hr

Erstelle Angebote sowie Service Offerings für das Management unserer Kund:innen im Bereich Data & Analytics und AI Strategy * Gewinne, entwickle und binde nachhaltig Best-In-Class-Talente, um dein ...

Core Specialty

Actuarial Data Analyst

Cincinnati, OH · Hybrid

$70K - $75K/yr

- The Core Specialty Data Analytics Team is looking for a Data Analyst. This dynamic role is ... Willingness to ask questions to gain understanding; collaborate effectively both with direct ...

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All JobsData Analytics Biotech JobsDirector Data Analytics Biotech JobsDirector Data Analytics Biotech Jobs in Ohio

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 Ohio? For Director Data Analytics Biotech jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Director Data Analytics Biotech jobs in Ohio look for? The top searched job categories for Director Data Analytics Biotech jobs in Ohio are:
What cities in Ohio are hiring for Director Data Analytics Biotech jobs? Cities in Ohio with the most Director Data Analytics Biotech job openings:
Director Data Analytics Biotech jobs near you

Head of Data & Analytics

Careers Opportunities at AVI Foodsystems

Warren, OH • On-site

$130 - $170/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Careers Opportunities at AVI Foodsystems

AVI Foodsystems is looking for an energetic and optimistic team member to fill the role of Head of Data & Analytics.

Founded in 1960, AVI Foodsystems has evolved into one of the most respected and trusted food service companies in the nation. Providing comprehensive food services with a focus on the highest quality and freshest ingredients, impeccable service and total value is the reputation we have earned and live up to everyday.

The Mission

Transform the company’s data from a "back-office cost center" into a "strategic enterprise asset." This leader will oversee the decommissioning of legacy financial systems, the stabilization of the modern Cloud ERP ecosystem, and the orchestration of a unified Data Lakehouse across high-scale engineering and business intelligence platforms.

Executive & Strategic Responsibilities C-Suite Advisory

Serve as a trusted advisor to the CEO, CFO, and COO, translating complex data initiatives into strategic business outcomes. You will provide the technical clarity needed for executive decision-making and long‑term investment planning.

Sales & Account Partnership

Act as a "Technical Executive" in the field, supporting Account Executives during high‑stakes negotiations with major customers. You will demonstrate the value of the organization’s data maturity and security posture to win and retain key enterprise accounts.

Customer-Centric Innovation

Conduct direct customer visits to understand how clients interact with our data products. Use these insights to bridge the gap between technical development and real‑world customer needs.

Enterprise Data Model (EDM) Leadership

Architect and implement a robust Enterprise Data Model leveraging established frameworks and industry standards. You will ensure this model serves as the "Single Source of Truth" by reconciling data from Human Capital Management (HCM), ERP, and Service Management platforms.

Team Scaling (1 to Many)

Lead the evolution of the data organization from its current state to a full‑service department. You are responsible for hiring, onboarding, and scaling a high‑performing team while fostering a culture of excellence.

The "Player-Coach" Approach

Act as a versatile leader who is equally comfortable in the boardroom defining strategy as they are "in the weeds" with the technical team. You will lead by example, providing hands‑on technical guidance while coaching the team toward self‑sufficiency.

Ideal Candidate Profile Executive Presence

Proven track record of working alongside C‑Suite leaders and presenting to external enterprise‑level stakeholders.

Experience

10+ years in data leadership, specifically leading digital transformation or major system migrations. Experience in a customer‑facing or sales‑support capacity is highly preferred.

Technical Mastery

Deep expertise in Data Modeling and modern cloud architectures. High "data fluency"—deep enough to review architecture, yet broad enough to lead AI/ML strategy.

Leadership Style

A natural Player‑Coach who thrives on mentoring others but isn't afraid to roll up their sleeves to solve a complex architectural hurdle.

Initial 90-Day Priorities Strategic Alignment

Meet with the C‑Suite and top Account Executives to identify the data points most critical to customer satisfaction and revenue growth.

Architecture & Model Audit

Review the state of the 100+ internal apps and the existing data model to identify gaps against industry standards.

Hiring & Capacity Planning

Assess current team capabilities and begin the recruitment process to scale the department.

Benefits
  • A family culture and atmosphere
  • Competitive compensation
  • Health, dental, vision, and life insurance for full‑time team members
  • 401(k) with generous company match
  • Paid vacations and holidays
  • Immense training and growth opportunities

We conduct pre‑employment drug testing. EOE

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