Senior Manager Procurement, Insights and Analytics

Key Skills

Agile methodologies, Data science techniques, Data Warehousing, Django, ETL frameworks, NoSQL, PowerBI, Python Programming, PyTorch, R Programming, SAP, SQL, Synapse

Job Description

As a key member of the Strategic Ingredients Sourcing (SIS) Team, Senior Manager of Procurement, Strategic Insights and Data Analytics, plays a crucial role in advancing the modernization and digitization of the SIS end-to-end procurement process, driving efficiency, effectiveness and value creation, which will be achieved through the implementation and continuous improvement of key workstreams around Sourcing, Strategy, Negotiation, and Risk Management. The Senior Manager of Procurement, Strategic Insights and Data Analytics creates, executes, and drives adoption of these digital transformation efforts, leveraging the network effect and working in close collaboration with various stakeholders both internal and external to the SIS Team. This role will also be involved in sourcing activities and will develop a strong understanding of the procurement process and global sourcing strategies.

Function Related Activities/Key Responsibilities:

• Data Management and Analytics: Lead the development and implementation of tools, KPI’s, and advanced analytics, including predictive modelling and machine learning, to identify trends and insights within procurement data. Ensure data integrity and accuracy across procurement systems and databases. Development and deployment of user-friendly advanced analytics solutions leveraging team’s data lake.
• Process Improvement: Identify opportunities for process improvements within procurement operations. Implement best practices for data management and analytics to enhance efficiency and effectiveness. Champion the implementation of new digital solutions and standards.
• Strategic Sourcing: Utilize insights from data analytics to support the identification of sourcing opportunities, suppliers’ selection, and effective negotiations.
• Market Intelligence: Monitor and analyse market trends, supplier landscapes, and sourcing price movements to anticipate risks and opportunities within the supply chain. Translate complex data sets into actionable insights for strategic planning.
• Stakeholder Collaboration: Work closely with team members as well as key stakeholders across different departments. Present data-driven recommendations to senior leadership to inform decision-making processes.

Education & Related Work Experience:

Required:

• Bachelor’s degree in information technology, data or computer science, or related field.
• Experience with SQL, Azure Synapse, Programming Languages – Python, ETL processes and tools.
• 5+ years’ work experience in a field related to this work.

Nice to have:

• Degree in supply chain management.
• Experience leading cross-functional teams or projects.
• Knowledge of a project management methodology such as Agile or Waterfall and experience deploying projects.
• Experience with SAP, especially S/4 HANA.
• Skilled using other programming languages such as R and DAX.
• Experience using Django to develop and implement an interactive website.

Knowledge & Skills:

• Communication & Leadership: Ability to communicate with key stakeholders, leaders and associates to ensure the execution of digital transformation strategies, drive adoption, and build strong relationships in support of the business goals and requirements.
• Innovation: generate new solutions and embrace new ideas that help sustain our business; ability to adapt and thrive in a fast-paced, rapidly evolving environment
• Network: ability to collaborate across geographic and organizational boundaries to deliver results and share best practices across a global System.
• Internal Collaboration: demonstrated ability to manage projects and communicate in a team-based environment.

Data Analytics:

• Use data and apply robust analytics to model various scenarios and analyze impact, risks, and benefits to inform and recommend business decisions.
• Expertise in data visualization and business intelligence tools like Microsoft Power BI is essential.
• Ability to uncover valuable insights from data and share with the team.
• Knowledge of data warehousing, data mining, and data cleansing is important for handling large datasets. Familiarity with ETL processes and tools is also crucial for streamlining data integration and ensuring data accuracy.
• Strong problem-solving skills.

• Procurement: knowledge of sourcing and supply chain management is a plus.
• Experience in website building, including knowledge of web development frameworks (e.g. Django) and experience with CMS platforms is a plus.

Growth Behaviors:

Curious: Keep seeking, never settle. Curiosity in the network is expressed by being human-centric. Having greater attunement and faster response to the need of consumers of our products and services, externally and internally.

Inclusive: Include, value, and trust each other. Inclusiveness in the network means openly sharing and collaborating. For networks to move quickly and get the best results, we need to share information, include, and trust one another.

Empowered: Make it happen. True empowerment is the result of taking responsibility. Empowerment in the network means feeling accountable, with a bias for action, but always applying lateral thinking and acting on behalf of the enterprise.

Agile: Push for progress, not perfection. Agility in the network means prioritizing learning fast and taking a more iterative, real-world-tested approach.

Skills:

Website Building; Waterfall Project Management; Continual Improvement Process; Content Management Systems (CMS); Supply Chain Management (SCM); Curious Mindset; Back-End Operations; Strategic Procurement; SAP Materials Management (MM); Microsoft Office; Data Analytics; Communication; Website Architecture; R Programming; Agile Project Management; Front-End Coding; Teamwork; Scenario Modeling; Data Cleansing; Agile Thinking; Leadership; Microsoft SQL Server; Microsoft Power Business Intelligence (BI) Data Visualization; Influencing Skills; Data Warehousing (DW); Procurement; Structured Query Language (SQL); Computer Coding; SAP Ariba; Python for Data Analysis; Back-End Development; IT Problem Solving; ETL Tools; Data Driven; SAP Business Intelligence (SAP BI); Data Management; Django Web Framework; Stakeholder Management; Data Visualization; Team Collaboration; Inclusive Practices; Computer Programming

Pay Range:

$106,300 – $130,700

Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered.