Assistant Director, Data – Supply Chain Analytics

atIonis Pharmaceuticals, Inc.RemoteUS flagUnited StatesFull-timeSupply ChainLead$125.2k – $161.7k/year

Posted 2 days ago

This is a fully remote position, open to applicants in United States.

πŸ“‹ Description

β€’ Create and spearhead a decision-grade supply chain analytics capability for Ionis.

β€’ Oversee the Supply Chain Data Visibility Platform through its design, construction, validation, implementation, adoption, and continuous evolution.

β€’ Direct the Commercial Supply Chain KPI framework, which includes definitions, formulas, business rules, thresholds, data ownership, source-to-report traceability, and governance.

β€’ Convert supply chain and manufacturing priorities into an analytics roadmap, prioritizing use cases, business requirements, data products, dashboards, and self-service functionalities.

β€’ Deliver data-driven decision support for S&OP, supply reviews, CMO business reviews, manufacturing strategies, and network decisions, including scenario and what-if analyses.

β€’ Enhance visibility into customer service, inventory health, safety-stock performance, forecast performance, schedule adherence, supplier and CMO performance, capacity, material constraints, release status, and emerging supply risks.

β€’ Manage business requirements, user training, change management, prioritization, and validation for supply chain data products on the Ioniverse/Databricks platform.

β€’ Collaborate with IT and external delivery teams on data ingestion, modeling, KPI logic, testing, production support, and continuous improvement.

β€’ Set data quality and reconciliation standards along with service expectations for essential data products.

β€’ Define and uphold the supply chain systems strategy and roadmap across SAP S/4HANA, SAP IBP, Ioniverse/Databricks, partner systems, and future capabilities.

β€’ Assess and sequence intricate system and process changes across products, sites, partners, and systems.

β€’ Lead data governance in clinical and commercial manufacturing, including ownership, stewardship, master data change control, documentation, issue resolution, and cross-functional approvals.

β€’ Foster alignment among business and technical stakeholders and influence decisions across various functions and organizational levels.

β€’ Establish sustainable operating processes, documentation, and knowledge transfer.

β€’ Manage business readiness, user training, change management, and measure adoption for new data products and capabilities.


⛳️ Requirements

β€’ Bachelor's degree in supply chain, operations, business analytics, information systems, data science, or a related field with a minimum of 8 years of relevant experience; or a master’s degree with at least 6 years of relevant experience; or equivalent education and experience.

β€’ Advanced understanding of supply chain planning and operations, including demand and supply planning, inventory management, customer fulfillment, manufacturing, supplier/CMO performance, and S&OP.

β€’ Proven experience in translating business processes and complex data into governed KPIs, analytical products, dashboards, and decision support tools.

β€’ Experience in leading cross-functional analytics, data, systems, or digital transformation initiatives from requirements gathering and design through validation, deployment, and adoption.

β€’ Strong grasp of data governance, master data, data quality, reconciliation, lineage, and ownership/stewardship practices.

β€’ Ability to independently structure complex challenges, determine methods and approaches, exercise sound judgment, and deliver practical solutions with minimal guidance.

β€’ Proven ability to influence diverse business and technical stakeholders while clearly explaining complex concepts, and leading through collaboration without direct authority.

β€’ Excellent written and verbal communication, stakeholder management, and structured problem-solving abilities.

β€’ Experience in pharmaceutical, biotechnology, life sciences manufacturing, or other regulated supply chain environments is preferred.

β€’ Familiarity with SAP S/4HANA, SAP IBP, Databricks, or similar enterprise planning, ERP, data platforms, and analytics technologies is preferred.

β€’ Experience collaborating with external manufacturers, suppliers, logistics providers, and technical delivery partners.


🏝️ Benefits

β€’ Excellent benefits package.

β€’ Highly competitive benefits.

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