Director of Enterprise Data & Analytics

By joining Bio-Techne, you’ll join a company with a powerful and positive purpose of enabling cutting-edge research in Life Sciences and Clinical Diagnostics. Bio-Techne, and all of its brands, provides tools for researchers to further treat and prevent disease worldwide.

Pay Range

$153,300.00 - $251,850.00

We are seeking a seasoned Director of Enterprise Data & Analytics to lead and shape our data and analytics strategy within a fast-paced, innovative life sciences company. This critical role will manage the entire data and analytics function, overseeing architecture, governance, and reporting, ensuring alignment with business goals to drive innovation. The Director will lead efforts in complex data integrations, advanced analytics, and machine learning solutions, empowering teams to make data-driven decisions and contributing to the company's overall performance and growth.

Key Responsibilities

• Data & Analytics Strategy: Lead and execute a comprehensive data and analytics strategy that aligns with business objectives and drives innovation.
• Architecture & Engineering: Oversee the design, development, and implementation of data architecture and engineering solutions to optimize data utilization.
• Reporting & Analytics Development: Spearhead the creation of advanced reports and analytics to support informed business decisions.
• Complex Data Integrations: Manage complex integrations across diverse systems and platforms, ensuring seamless data flow.
• Data Governance: Establish and enforce data governance policies to ensure data consistency, security, and quality.
• Collaboration & Enablement: Work closely with all business units to understand data needs and deliver user-friendly analytics solutions while empowering non-technical users.
• Technical Debt Management: Identify and eliminate technical debt to improve system efficiency and performance.
• Focus on Key Analytics Areas: Lead efforts in key business areas such as eCommerce, financial, sales and marketing, supply chain, and operational analytics.
• Machine Learning & AI Solutions: Lead the development and deployment of AI and machine learning-driven analytics solutions.
• Master Data Management: Drive consistency and reliability of data across the organization through master data management.
• Team Leadership & Development: Grow and develop a high-performing data and analytics team, ensuring ongoing professional growth and alignment with the company’s strategic goals.
• Cross-functional Collaboration: Partner with senior business leaders and other departments to drive data-driven decisions and performance optimization.
• Financial Acumen & Budgeting: Develop business cases for investments in data technologies and resources, and manage budgets effectively.
  
  

Leadership & Strategic Influence

• Lead data analytics and warehousing teams, providing thought leadership, mentorship, and fostering a data-driven culture within the company.
• Collaborate with senior leadership to inform strategic decisions with data-driven insights and ensure alignment with business goals.
• Influence non-technical stakeholders across the organization by communicating complex data concepts in a clear and actionable manner.
  
  

Qualifications

• Experience: 15 years of experience in data and analytics, with a proven track record of building and leading analytics functions.
• Industry Knowledge: Experience in life sciences, manufacturing, or online retail industries is a plus.
• Technical Skills: Expertise in data architecture, engineering, governance, advanced analytics, and machine learning.
• Leadership Skills: Proven ability to lead, grow teams, and manage complex projects while collaborating across departments.
• Communication: Strong interpersonal skills, with the ability to clearly communicate complex data to both technical and non-technical stakeholders.
• Education: Bachelor’s degree in Computer Science, Data Science, Information Technology, or related field; Master's degree preferred.
  
  

Additional Qualifications

• Business Acumen: Financial understanding of a publicly-traded company and the ability to build business cases for technology investments.
• Analytical Mindset: Strong problem-solving skills with a strategic approach to data analysis and decision-making.
• Technical Proficiency: Familiarity with data technologies that support both structured and unstructured data, such as SQL Server, MySQL, .Net apps, data lake, Azure Data Factory, Google Analytics, Salesforce, Marketo, Synapse, Event Grid, Databricks, DOMO, Boomi and data visualization tools like PowerBI, as well as statistical analysis and A/B testing.
• Leadership & Mentorship: Demonstrated ability to inspire, lead, and mentor teams while cultivating a collaborative and high-performing environment.
  
  

Why Join Bio-Techne

• We offer competitive insurance benefits starting on day one: medical, dental, vision, life, short-term disability, long-term disability, pet, and legal and ID shield.
• We invest in our employees’ financial futures through 401k plans, an employee stock purchase plan (ESPP), Health Saving Account (HSA), Flexible Spending Account (FSA), and Dependent Care FSA.
• We empower our employees develop their careers through mentorship, promotional opportunities, training and development, tuition reimbursement, internship programs, and more.
• We offer employee resource groups, volunteer paid time off, employee events, and charity drives to build a culture of caring and belonging.
• We offer an accrued leave policy with paid holidays, paid time off, and paid parental leave.
• We foster a culture of empowerment and innovation, where employees feel valued and encouraged to bring their new ideas to the table.
  
  

Bio-Techne is an E-Verify Employer in the United States.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

To protect the interests of all, Bio-Techne will not accept unsolicited resumes from any source other than a candidate application. Any unsolicited resumes sent to Bio-Techne will be considered Bio-Techne property.