IBP Data and Technology Steward

Job Description

Integrated Business Planning (IBP) brings together forecasting, planning, and execution across marketing, sales, finance, procurement, manufacturing, and customer service into a unified process. This integration ensures alignment across the enterprise, leading to superior customer outcomes.

Agilent is building our enterprise planning capabilities to drive IBP across the business by establishing a centralized Planning Excellence Team (PET). This team will continue our Ignite IBP transformation journey which will strengthen our competitive advantage by enabling faster, more reliable planning. The IBP Data and Technology Steward will bring key system and process knowledge capabilities to the PET team.

As the IBP Data and Technology Steward, you will drive the design, build, and operationalize the foundational models and data structures required for IBP, S&OP, and S&OE processes. You will ensure the Planning Excellence Team delivers high quality data modeling products, leveraging leading practices in enterprise planning, analytics, visualization and systems. This is a critical role balancing data modeling expertise with the ability to interface with the commercial and global ops business leaders to enable better decision making.

The ideal candidate will have a strong background in systems implementation, project management, systems support, and hands-on experience with S&OP processes. Communication and collaboration at both operations and management levels are key. A BSc in Supply Chain or Engineering is a minimum requirement.

Principle duties and responsibilities:

* The coordination and translation of business needs with the deployment, configuration, and maintenance of systems

* Partner with business, data scientists and IT to define system requirements, integration needs, enhancements, and modernization initiatives (e.g., IBP, APS, Smart Layer, BI)

* Provide oversight and mentorship to a team of junior data scientists and campus hires.

* Oversee operating forecasts and inventory models optimizing for key performance KPIs (e.g., forecast accuracy and fill rate)

* Develop scalable planning data pipelines, including extraction, and transformation and for all major planning systems

* Ensure consistent data governance, including planning parameters, metadata rules, segmentation, and planning hierarchies spanning interconnect planning architecture

* Establish a peer review process to ensure data model quality has checks and balances within the team before committing to the operations to safeguard any operational impacts or errors.

* Assist the team with troubleshooting any anomalies in their algorithms.

* Partner with Planning Stewards and Data Scientists to ensure model alignment with standards, analytics, and process maturity needs

* Support the establishment of the core E2E planning data model, workflows, and system integrations to modernize planning technology and enable scalable enterprise planning

* Support configuration of planning applications, including scenario modeling, workflow automation, dashboards, and KPI frameworks

* Provide scenario-modeling support during stabilization, including validation of inputs, outputs, and calculation logic

Qualifications

Minimum Requirements:

* Bachelor's in operations computer science, engineering, or related field. Master's Degree or equivalent is a plus

* 10+ years relevant experience supporting planning, forecasting, manufacturing and/or operations for entry to this level.

* Experience with ERP (like SAP) systems implementation and use within operations modules (i.e.: Planning to Make; Order to Cash)

* Experience with SAP APO, SAP IBP, Kinaxis, or other similar S&OP advanced planning systems required.

* Strong, hands-on understanding of S&OP processes and best practices.

* Extensive knowledge in predictive modeling, machine learning, and statistical analysis

* Familiarity with programming languages such as Python, R, or SQL.

* Experience with data visualization tools like Tableau, Power BI, Qlik, Spotfire or similar.

* Strong analytical and problem-solving skills with the ability to interpret complex data.

* Experience interfacing with IT to translate…