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Data Science Architecture and Analytics Leader, (Roswell, GA. or Neenah, WI.)

Company: Kimberly-Clark
Location: Larsen
Posted on: May 15, 2022

Job Description:

Data Science Architecture and Analytics Leader, (Roswell, GA. or Neenah, WI.)

Job Description

About Us

Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. You already know our legendary brands-and so does the rest of the world. In fact, 25% of people in the world use Kimberly-Clark products every day. We know that these amazing Kimberly-Clark products wouldn't exist without our manufacturing experts, like you.

We're also a team that truly cares about each other - kind of like a family but a really productive and focused one. Employee research shows that every single manufacturing employee comes to work each day with confidence and security in knowing that their safety will never be compromised. We take pride in our ability to offer a healthy paycheck for a job well done and opportunities for our team members to develop into new skills, roles, and schedules over time. There's more than one way to create your future with our winning team. It's all here for you at Kimberly-Clark ; you just need to clock in!

Responsibilities: These duties are not meant to be all-inclusive and other duties may be assigned.

  • The Digital Manufacturing Data Science, Architecture & Analytics Leader. works across the organization to develop enterprise standards for K-C manufacturing facilities digital architecture, automated data visibility, reporting/dashboards, build tools/capabilities to drive a data-driven analytics culture and actionable insights throughout the organization, and perform analysis that our various stakeholders (from mill teams to senior leaders) will use to make decisions to improve our operational performance. They oversee creating data management systems based on the requirement of the company. They work hand in hand with AI/ML engineers and information technology professionals to create these systems.
  • Anticipate and forecast business needs for the data analytics tools under his/her responsibilities
  • Lead customers and partners expectations for data analytics products. Communicate effectively with partners (Global Process Owners, SME, ...) to validate business requirements and define data analytics acceptance criteria's
  • Steer K-C global manufacturing teams to build, improve and lead data analytics manufacturing's processes, systems and capabilities
  • Owns End-to-End lifecycle of Data Analytics Manufacturing tools/products
  • Data Management: Support the definition of the relevant manufacturing terms and data definitions, data lifecycle and retention requirements for Manufacturing
  • Works closely with IT/DTS Enterprise Analytics and Data (EAD) team to establish the data model and definitions
  • Support data model and definitions standardization across functional business processes and digital solutions
  • Data Quality, Synchronization, Improvement & Compliance
  • Partner with the Supply Chain DTS business partner and DTS IT Mfg Capability Leader to develop data technology analytic solutions and tools for precision manufacturing.


    Regional and Business Unit Supply Chain Manufacturing teams, Planning and Logistics organization, GSC Strategy & Transformation Leaders, Global Technology Director, GSC VP Quality; Sr. Director Manufacturing Excellence & Digital Transformation; Sr. Director Aurora Global Capability Owner-Supply Chain; DTS Global Digital Supply Chain; Assoc. Director Mfg. Digital Technology & Innovation; Global Mfg Technical Leaders; Senior Director Capital Footprint & Value Eng.; Senior Director External Contract Manufacturing; Global Manufacturing Digitalization Leaders; Global Value Stream Leaders; Global Integrated OPEX Leader

    Expectations and Accountabilities:

    Design/build analytics tools and capabilities for mill, regional, and global teams to transform data into actionable insights. Establish enterprise standards for manufacturing reporting and dashboards for local, regional, and global review using data from GE Proficy, OSI Pi Historian, and SAP. Develop global reporting requirements for MES, and provide prioritization of design elements to IT. Design and prepare manufacturing KPIs reports to effectively communicate findings to organizational leadership and key stakeholders. Partner with Digital Manufacturing Change Management and Communications Leads to develop necessary training programs and communications plans for reports/tools as they roll out across the globe. Support manufacturing data analytics for key global manufacturing initiatives/projects as needed. Value identification using insights from loss analytics data Have a strong understanding of business and technical architecture to efficiently identify and prioritize opportunities of application of data science. Lead initiatives to benchmark and research new data solutions and practices internally and externally to improve the strength and performance of our Manufacturing discipline. Manage and execute a portfolio of projects including cross-functional management, design, development, modeling, testing of proposed solutions


    This position functions as an important Digital Manufacturing function by providing data driven innovative solutions for all operations worldwide. The individual must be able to influence and partner with the manufacturing leaders and other connected functional teams to deliver tools and processes that improve performance and cost. Lead development of the manufacturing mill data architecture framework in support of the technology innovation requirements. Lastly, the position has responsibility for leading and coaching the global manufacturing functional resources in data analytics and use of information from the acquired data and reports for insights and action planning for continuous improvement.

    Competencies/ Skills & Requirements:
    • Strong experience in Manufacturing environment and in deploying data analytics solutions!
    • Very good experience/knowledge in data analytics tools (descriptive, diagnostic, predictive, prescriptive, and Digital Twin) and/or machine learning/artificial intelligence techniques in manufacturing environment
    • Good Manufacturing Processes Knowledge
    • Change management experience (Change Agent level)
    • Good understanding of the manufacturing digital transformation trends
    • Outstanding communication, presentation and leadership skills
    • Cyber security / information security knowledge (preferred)
    • Knowledge of JIRA and Confluence (preferred)
    • Data scientist experience preferred
    • Phyton or other machine learning programming languages (preferred)
    • Knowledge of PMI Manufacturing Data Analytics Systems (SPA/PPA, OI Analytics OptimistiK, ..) (preferred)

      Qualifications/Education/Experience Required:
      • B.S., M.S., or Ph.D. in Data Sciences, Engineering /Computer science and/or Data Management
      • Big Data Analytics certification or equivalent experience
      • Lean Six Sigma Certification (preferred)
      • Agile certification (preferred)
      • Project/Program Management certification (preferred)
      • Digital Manufacturing data management experience as definition and administration
      • Digital Manufacturing experience
      • Data management concepts (MES, ISA S95, data architecture and model, ...)
      • Manufacturing KPI management
      • Data collection for shop floor data collection
      • Data Structuration, Big Data, Business Intelligence (BI tools), Microstrategy, Microsoft Power BI, cloud storage
      • 5+ years of experience in manufacturing, supply chain and/or Information technology, facilitating the development and implementation of business initiatives and projects, based on management objectives
      • Understanding of the CPG industry and how to use change management best practices, disciplines, and technology to achieve business objectives
      • Corporate or consulting experience preferred
      • Functional knowledge of manufacturing operations - including but not limited to the following functions: planning/forecasting, supply management, procurement, sales and operations planning, engineering, production scheduling, maintenance, production controls, quality control, inventory management, supply chain, warehouse and distribution
      • Track record of project delivery success that should include: System Implementation / Integration, cost savings, process improvement, production capacity improvement,
      • Strong functional knowledge of ERP and Manufacturing Execution Systems (MES) with broad IT expertise in various disciplines (system development, infrastructure) and new technologies
      • Keen technical skills and demonstrable ability to assess needs, identify issues, recommend alternatives and implement and lead change
      • Experience in supplier management, Project Management, Waterfall and Agile methodologies
      • Strong analytical skills, demonstrated organizational and leadership skills, examples of effective teamwork, a track record of consistently meeting deadlines and due dates
      • Superb communication skills, written and verbal, utilizing a clear and concise manner across various levels of the organization

        • Excellent judgment, interpersonal skills, cultural awareness and professional maturity with executive presentation experience, comfortable interacting with senior executive leadership, lead, facilitate and manage change effectively
        • Proficient in Microsoft Office programs including Word, Excel, and PowerPoint
        • SAP experience preferred

          Total Benefits:

          Our manufacturing employees are some of our most important workers, our most loyal fans and our favorite people, so we take care of them really well. We've listed just a few of the many offerings that you would enjoy. If you want a full overview of the many Benefits offered to Kimberly-Clark employees, go to . Great support for Good Health with options for medical, dental and vision coverage-and no waiting periods or pre-existing condition restrictions, you can start work with peace of mind on Day 1. You'll also have access to an on-site Fitness Center and on-site Occupational Health Nurse and allowances for high quality safety equipment.

          Flexible Savings and spending accounts that let you maximize health care options and stretch your dollars further when caring for yourself or dependents.

          Diverse Income protection insurance options to help protect yourself and your family in case of illness, injury or other unexpected events.

          Great support for amazing life choices. We know it takes time and resources to continue your education, adopt a child, relocate, or even find temporary childcare. That's why Kimberly-Clark offers additional programs and support for the things that matter to your life, right now.

          To Be Considered:

          Click the Apply button and complete the online application process. A member of our fabulous recruiting team will then review your application and follow up with you if you seem like a great fit for this role.

          In the meantime, you can check out the Manufacturing Careers area on our website (if you haven't already). You'll want to review this and come prepared with a few relevant questions if and when you pass GO and begin interviews. For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world. We actively seek to build a workforce that reflects the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law.

          The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.

          Global VISA and Relocation Specifications:

          Primary Location


          Additional Locations


          Worker Type


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          Time Type

          Full time

Keywords: Kimberly-Clark, Green Bay , Data Science Architecture and Analytics Leader, (Roswell, GA. or Neenah, WI.), Professions , Larsen, Wisconsin

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