Director, Media Analytics
Lonza is hiring a Director, Media Analytics. It pays $208k-$239k a year and Level rates it ; you can apply on Lonza.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level classes it as an executive role.
- Lonza has 566 other open roles on Level.
- Posted within the past two weeks.
AI in this role
Director, Media Analytics
Location: This position is based in our Walkersville, MD office. The typical work schedule is Monday through Friday, 8:00 AM–5:00 PM EST.
What you will get:
The full-time base annual salary for this position is expected to range between $208,100 to $238,650. In addition, below you will find a comprehensive summary of the benefits package we offer:
- Performance-related bonus.
- Medical, dental and vision insurance.
- 401(k) matching plan.
- Life insurance, as well as short-term and long-term disability insurance.
- Employee assistance programs.
- Paid time off (PTO).
Compensation for this role will be determined by the candidate’s qualifications, skills, experience, and relevant knowledge.
What will you do:
The Director, Media Analytics, will lead the MSAT Media Analytics function, transforming media, raw material, process, manufacturing, and quality data into actionable scientific and business insights. This role will establish strategy, governance, analytical standards, and the digital roadmap for media analytics while driving innovation, operational excellence, and measurable business impact.
- Define and execute the global Media Analytics strategy, operating model, and multi-year roadmap aligned with MSAT and Bioscience business priorities.
- Lead the development and deployment of advanced analytical approaches integrating raw material, formulation, process, manufacturing, quality, stability, and customer performance data.
- Establish data governance standards, analytical frameworks, model lifecycle controls, documentation practices, and performance monitoring processes.
- Build, develop, and mentor a high-performing team of analytical and data scientists while creating technical career pathways and succession plans.
- Prioritize and manage an analytics portfolio based on business value, strategic importance, supply and quality risk, feasibility, and measurable outcomes.
- Partner with MSAT, Operations, Quality, R&D, Digital/IT, Supply Chain, and Commercial teams to translate scientific and business challenges into scalable analytical solutions.
- Provide technical leadership for product testing, raw material characterization, method validation, process validation, continued process verification, comparability assessments, and complex investigations.
- Champion the responsible use of statistics, machine learning, automation, and data visualization to support informed decision-making.
- Present analytical insights, risks, recommendations, and value realization to senior leadership, customers, and cross-functional stakeholders.
- Drive innovation by evaluating emerging technologies, analytical methodologies, regulatory expectations, and industry best practices.
- Ensure compliance with applicable cGMP, quality, EHS, data integrity, information security, and company requirements.
What we are looking for:
- Bachelor's degree in Analytical Chemistry, Bioanalytical Chemistry, Chemistry, Biochemistry, or a related scientific discipline required.
- Master's degree or Ph.D. in Analytical Chemistry, Bioanalytical Chemistry, Chemistry, Biochemistry, or a related scientific discipline preferred.
- Minimum 7 years of experience leading technical teams and managing complex cross-functional portfolios.
- Extensive experience in cell culture media analytics and raw material characterization.
- Advanced expertise with analytical techniques such as ICP-MS, HPLC/UHPLC, IC, GC-MS, LC-MS/MS, FTIR microscopy, Raman spectroscopy, and NIR spectroscopy.
- Strong experience investigating impurities, contaminants, raw material variability, and complex analytical challenges.
- Deep knowledge of analytical chemistry, method development, validation, transfer, data analysis, and interpretation.
- Advanced understanding of cGMP requirements, data integrity principles, validation methodologies, and quality systems.
- Experience with multivariate statistics, advanced data analytics, and risk-based decision-making approaches.
- Working knowledge of machine learning, data pipelines, databases, cloud-based analytics platforms, data visualization tools, and statistical programming environments.
- Ability to connect media formulation and raw material variability to process performance, product quality, manufacturing capability, and customer outcomes.
- Experience establishing data governance standards, analytical validation strategies, and sustainable operating models.
- Strong executive communication, stakeholder management, technical writing, and organizational leadership skills.
- Proven ability to simplify complex scientific concepts into clear business decisions and actionable recommendations.
About Lonza
At Lonza, our people are our greatest strength. With 30+ sites across five continents, our globally connected teams work together every day to manufacture the medicines of tomorrow. Our core values of Collaboration, Accountability, Excellence, Passion and Integrity reflect who we are and how we work together. Everyone’s ideas, big or small, have the potential to improve millions of lives, and that’s the kind of work we want you to be part of.
Innovation thrives when people from all backgrounds bring their unique perspectives to the table. At Lonza, we offer equal employment opportunities to all qualified applicants regardless of race, religion, color, national origin, sex, sexual orientation, gender identity, age, disability, veteran status, or any other characteristic protected by law. If you’re ready to help turn our customers’ breakthrough ideas into viable therapies, we look forward to welcoming you on board.
Ready to shape the future of life sciences? Apply now.
How we rate this
Director, Media Analytics at Lonza rates 22 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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