Amcor
Senior Manager - Data Science
Entry LevelOn-siteFull-time
Location
Neenah, WI
Salary
Not listed
Experience
10+ years
Posted
Today
Job Description
Senior Manager - Data Science
Location: AF Neenah Innovation Center WI
Accelerate the possible by joining a winning Amcor team that’s transforming the packaging industry and improving lives around the world.
At Amcor, we unpack possibility through our innovative and responsible packaging to provide solutions that benefit our customers, our people and our planet. More than 10,000 consumers worldwide encounter our products every second and rely on us for safe access to food, medicine and other goods. We value their trust by making safety our guiding principle. It’s our core value and integral to how we do business.
Beyond this core principle, our shared values and behaviors unite us as we work together to elevate customers, shape lives and protect the future. We champion our customers and help them succeed. We play to win – adapting quickly in an everchanging world – and make smart choices to safeguard our business, our communities and the people we serve for generations to come. And we invest in our world-class team, empowering our colleagues to unpack their potential, because we believe when our people grow, so does our business.
To learn more about playing for Team Amcor, visit www.amcor.com I LinkedIn I Glassdoor I Facebook I YouTube
Job Description
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.
What You’ll Do
Strategic Leadership & Transformation
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
Data Science & Advanced Analytics
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
Systems & Digital Enablement
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
Operational Excellence & Performance Management
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
People Leadership & Organizational Capability
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
Cross-Functional & Executive Collaboration
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
What Success Looks Like
Scaled deployment of enterprise analytics solutions driving measurable ROI
Increased speed and quality of R&D decision-making
Strong adoption of AI and advanced analytics tools across the organization
A high-performing, future-ready analytics organization
Robust, trusted data infrastructure supporting innovation and growth
What We’re Looking For
Required Qualifications
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
Technical Expertise
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
Domain Expertise (Preferred)
Background in materials science, polymers, manufacturing, or packaging
Familiarity with film extrusion or food packaging interactions
Key Leadership Competencies
Strategic thinker with strong business and operational acumen
Proven ability to translate complex technical concepts into business value
Influential leader with strong stakeholder management skills
Highly collaborative, with the ability to drive alignment across global teams
Results-oriented, with a track record of taking initiatives from concept to scaled impact
Curious, innovative, and continuously seeking new ways to create value through data
Additional Information
Ability to travel up to 25%
#LI-onsite
Our Expectations
We expect our people to be guided by The Amcor Way and demonstrate our Values every day to enable the business to win. We are winning when:
Our people are engaged and developing as part of a high-performing Amcor team
Our customers grow and prosper from Amcor’s quality, service, and innovation
Our investors benefit from Amcor’s consistent growth and superior returns
The environment is better off because of Amcor’s leadership and products
Equal Opportunity Employer/Minorities/Females/Disabled/Veterans/Sexual Orientation/Gender Identity
Amcor is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
If you would like more information about your EEO rights as an applicant under the law, please click on the "Know Your Rights: Workplace Discrimination is Illegal" Poster. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the employment process, please call 224-313-7000 and let us know the nature of your request and your contact information.
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Benefits
When you join Amcor, you will have access to a comprehensive benefits and compensation package that includes:
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)