Senior Manager - Data Science
Amcor•Neenah, WI
•Onsite
About The Position
The Senior Manager – Data Science is a strategic leadership role responsible for advancing enterprise business intelligence and analytics capabilities across global R&D. This position combines deep technical expertise with portfolio-level strategy to accelerate innovation, improve decision-making, and strengthen cost competitiveness. As a key enabler of digital transformation, this leader oversees a multidisciplinary team spanning data science, business intelligence, and systems management—translating complex materials and R&D data into actionable insights that drive business outcomes.
Requirements
- MS or PhD in Data Science, Engineering, or a related field
- 10+ years of experience in data science, analytics, or R&D digital transformation
- 5+ years of leadership experience managing teams or complex cross-functional initiatives
- Proven track record of delivering business impact through analytics, systems, or operational leadership
- Advanced knowledge of: Statistical modeling, Optimization techniques, Machine learning
- Proven programming skills in Python, SQL, and cloud-based data platforms
- Experience building data pipelines, models, and production-ready analytics tools
Nice To Haves
- Background in materials science, polymers, manufacturing, or packaging
- Familiarity with film extrusion or food packaging interactions
Responsibilities
- Define and execute the enterprise R&D analytics and digital strategy to drive growth, margin expansion, and operational excellence
- Lead end-to-end portfolio governance, including investment prioritization, resource allocation, and roadmap alignment
- Champion the digital transformation of R&D, scaling advanced analytics, AI, and automation solutions
- Act as a thought leader on emerging technologies, identifying scalable opportunities to enhance innovation and competitiveness
- Establish governance frameworks to ensure data integrity, compliance, and execution discipline
- Set the direction for advanced modeling, optimization, and machine learning to solve complex R&D and business challenges
- Lead development of scalable analytics tools from concept through production deployment
- Drive adoption of analytics solutions to enable: Portfolio optimization, Risk identification, Data-driven decision-making
- Oversee the creation and governance of data pipelines, data structures, and features required for advanced analytics
- Serve as a senior technical advisor translating complex data into business value
- Own the vision and governance for R&D systems and analytics platforms
- Partner with IT to design and deploy integrated, scalable digital solutions
- Advance enterprise capabilities in: Knowledge management, Experimentation and modeling, Specification and product lifecycle data
- Ensure systems are scalable, secure, and aligned with enterprise architecture
- Establish and track R&D performance metrics, dashboards, and reporting frameworks
- Drive transparency and accountability through data-driven performance management
- Identify and scale high-impact analytics use cases that deliver measurable business results
- Lead and develop a high-performing, global team across data science, BI, and systems
- Build a culture of innovation, accountability, and continuous improvement
- Define and execute talent and capability strategies, including succession planning and skill development
- Mentor leaders and technical experts to strengthen organizational depth and impact
- Act as a strategic partner to R&D, Operations, Procurement, Finance, Commercial, and IT leadership
- Align global and regional teams on standards, data governance, and best practices
- Translate business priorities into scalable analytics initiatives that deliver measurable value
- Ensure responsible and secure deployment of analytics solutions in partnership with IT and governance teams
Benefits
- Medical, dental and vision plans
- Flexible time off, starting at 80 hours paid time per year for full-time salaried employees
- Company-paid holidays starting at 8 days per year and may vary by location
- Wellbeing program & Employee Assistance Program
- Health Savings Account/Flexible Spending Account
- Life insurance, AD&D, short-term & long-term disability, and voluntary benefits
- Paid Parental Leave
- Retirement Savings Plan with company match
- Tuition Reimbursement (dependent upon approval)
- Discretionary annual bonus program (initial eligibility dependent upon hire date)
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What This Job Offers
Job Type
Full-time
Career Level
Senior
