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Strategic Leadership:
Developing and executing a data architecture strategy aligned with the company's business objectives and data analytics roadmap.
Defining and maintaining the enterprise data model, data standards, and data governance policies.
Staying abreast of emerging technologies and trends in data architecture, data integration, and data governance, evaluating their potential impact on the data architecture.
Technical Leadership & Architecture:
Leading the design and implementation of data integration patterns, data pipelines, and data solutions on AWS.
Overseeing the evolution of our data lake, data warehouse, and related data services, ensuring scalability, reliability, and security.
Providing architectural guidance and oversight for data-related projects across the organization.
Analyzing, designing, and developing a solution roadmap and implementation plan based upon a current vs. future state of the business.
Participating in the Enterprise Architecture domain governance model.
Contributing to the development of software, data and technology platforms with reusable components that can be orchestrated together into different methods.
Leading the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support actives.
Team Leadership & Development:
Leading, mentoring and develop a team of Data Architects, providing technical guidance, performance feedback, and career development opportunities.
Fostering a collaborative and innovative team environment.
Promoting knowledge sharing and best practices within the team and across the broader Data Analytics organization.
Managing budgets and strategic inputs into short/long term budget planning.
Collaboration & Stakeholder Management:
Partnering closely with Data Scientists, Data Engineers, Business Analysts, and other stakeholders to understand their data needs and deliver effective solutions.
Collaborating with Enterprise IT to ensure alignment with overall IT strategy and governance.
Communicating technical concepts and solutions effectively to both technical and non-technical audiences.
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
Strong experience in data architecture, data modeling, or related roles.
Experience in leading and managing technical teams.
Deep expertise in cloud computing, specifically AWS (Amazon Web Services). Experience with services such as S3, EC2, EMR, Glue, Athena, Redshift, Kinesis, Lambda, and IAM is essential.
Proven experience in designing and implementing data lakes, data mesh, data warehouses, and data pipelines.
Strong understanding of data modeling techniques (relational, dimensional, NoSQL).
Experience with data integration tools and techniques (ETL/ELT).
Technical Expertise: AWS Cloud Services, Data Modeling, Data Warehousing, Data Lake Architecture, ETL/ELT Processes, Data Governance, Data Security, Metadata Management, Data Lineage.
Leadership: Team Management, Mentoring, Strategic Thinking, Communication (written and verbal), Problem-Solving.
Soft Skills: Collaboration, Influence, Adaptability, Results-Oriented.
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Responsibilities
Driving segment inventory planning process policy aligning with overall business goals and IBP for SBUs, Regions and Service applying APICs methodologies,
Overseeing inventory management initiatives within segments, ensuring efficient use of resources,
Supporting SEIP and MEIO governance and deployment across segments and regions (Kinaxis AI tool),
Managing KANBAN systems, work-in-progress (WIP) inventory, and raw material entitlement,
Collaborating with Segments to develop stocking strategies for Manufacturing and Regional Distribution Centers, optimizing inventory levels to enhance customer experience,
Overseeing the management of PIPO (phase In/Out) and E&O (Excess and Obsolete) inventory to minimize waste,
Collaborating on Last Time Buy (LTB) processes to ensure optimal inventory levels.
Overseeing overarching inventory management programs, providing guidance and support to ensure adoption and adherence.
Coordinating and deploying processes and policies to ensure consistency and effectiveness in inventory management practices, driving standardization across global operations and service,
Fostering cross-functional collaboration to ensure alignment and synergy in inventory management efforts across the organization,
Demonstrating strong leadership qualities, inspiring teams and effectively managing projects and issues.
Required Qualifications & Skills
Hold a Bachelor's Degree from an accredited university, with an MBA being desirable,
Advanced experience with demonstrated leadership in materials planning or supply chain roles,
Expertise in manufacturing materials planning,
MEIO implementation and AI planning tool expertise,
Serve as a transformational change agent, bringing energy, passion, and enthusiasm to drive organizational change.
Demonstrate proficiency in applying tools and process rigor, exhibit proven leadership skills in navigating change, and showcase effective interpersonal, teamwork, and networking abilities to foster collaboration and drive results.
Exhibit the ability to deliver results in ambiguous environments, showcasing adaptability and resilience.
Fluent English.
These jobs might be a good fit

Share
Strategic Leadership:
Developing and executing a data architecture strategy aligned with the company's business objectives and data analytics roadmap.
Defining and maintaining the enterprise data model, data standards, and data governance policies.
Staying abreast of emerging technologies and trends in data architecture, data integration, and data governance, evaluating their potential impact on the data architecture.
Technical Leadership & Architecture:
Leading the design and implementation of data integration patterns, data pipelines, and data solutions on AWS.
Overseeing the evolution of our data lake, data warehouse, and related data services, ensuring scalability, reliability, and security.
Providing architectural guidance and oversight for data-related projects across the organization.
Analyzing, designing, and developing a solution roadmap and implementation plan based upon a current vs. future state of the business.
Participating in the Enterprise Architecture domain governance model.
Contributing to the development of software, data and technology platforms with reusable components that can be orchestrated together into different methods.
Leading the research and evaluation of emerging technology, industry and market trends to assist in project development and/or operational support actives.
Team Leadership & Development:
Leading, mentoring and develop a team of Data Architects, providing technical guidance, performance feedback, and career development opportunities.
Fostering a collaborative and innovative team environment.
Promoting knowledge sharing and best practices within the team and across the broader Data Analytics organization.
Managing budgets and strategic inputs into short/long term budget planning.
Collaboration & Stakeholder Management:
Partnering closely with Data Scientists, Data Engineers, Business Analysts, and other stakeholders to understand their data needs and deliver effective solutions.
Collaborating with Enterprise IT to ensure alignment with overall IT strategy and governance.
Communicating technical concepts and solutions effectively to both technical and non-technical audiences.
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred.
Strong experience in data architecture, data modeling, or related roles.
Experience in leading and managing technical teams.
Deep expertise in cloud computing, specifically AWS (Amazon Web Services). Experience with services such as S3, EC2, EMR, Glue, Athena, Redshift, Kinesis, Lambda, and IAM is essential.
Proven experience in designing and implementing data lakes, data mesh, data warehouses, and data pipelines.
Strong understanding of data modeling techniques (relational, dimensional, NoSQL).
Experience with data integration tools and techniques (ETL/ELT).
Technical Expertise: AWS Cloud Services, Data Modeling, Data Warehousing, Data Lake Architecture, ETL/ELT Processes, Data Governance, Data Security, Metadata Management, Data Lineage.
Leadership: Team Management, Mentoring, Strategic Thinking, Communication (written and verbal), Problem-Solving.
Soft Skills: Collaboration, Influence, Adaptability, Results-Oriented.
These jobs might be a good fit