Senior Manager - Data Science

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. E-Verify We verify the identity and employment authorization of individuals hired for employment in the United States. 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)