Lead the Self‑Healing Supply Chain program, shaping strategy, managing a global team, and driving AI‑enabled decision intelligence across AstraZeneca’s supply chain.
Compensation
The annual base pay for this position ranges from $177,652.80 - 266,479.20 USD. Our positions offer eligibility for various incentives—an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles.
Responsibilities
Set the strategy: Set the SHSC vision, strategy and decision roadmap
Spearhead the program: Lead day‑to‑day program management and line‑manage the core team
Champion Decision Intelligence: Steer the Decision Architecture discipline
Deliver measurable value: Implement a governed intake, assessment and prioritization process
Leading an AI-driven supply chain transformation program focused on sensing, assessing, healing, and learning within a global biopharmaceutical context.
Compensation
The annual base pay for this position ranges from $177,652.80 - 266,479.20 USD.
Responsibilities
Set the SHSC vision, strategy, and decision roadmap
Spearhead the program by leading day-to-day program management and line-managing the core team
Chair steering committees, integrated plan reviews, and quarterly benefit reviews
Steer the Decision Architecture discipline
Implement a governed intake, assessment, and prioritization process
Analyze inbound freight lanes and develop cost models to optimize inbound freight operations, potentially transitioning select lanes to internal management.
Compensation
$45.00 - $50.00 / Hour
Responsibilities
Analyze inbound freight lanes across LTL, truckload, intermodal, and small-parcel transportation to identify inefficiencies and cost-saving opportunities.
Evaluate supplier-managed freight practices and determine the feasibility of transitioning select lanes to internally managed freight.
Develop cost models comparing supplier-prepaid, collect, and alternative freight arrangements.
Build lane-level visibility into freight costs, accessorial charges, fuel surcharges, rate structures, and seasonal variability.
Assess Transportation Management Systems and freight-visibility platforms that may support future logistics operations.
Requirements
Nice to have: transitioning suppliers from prepaid freight to collect or internally managed freight
Nice to have: foodservice
Nice to have: retail
Nice to have: consumer goods
Nice to have: ERP systems such as Oracle, SAP, or NetSuite
Lead consultative sales engineering for Revenova’s cloud transportation management platform, partnering with Account Executives to drive deals from discovery through close.
Responsibilities
Lead in-depth consultative sessions after the overview demo to uncover root causes of prospects’ operational and business pain
Turn findings into value-based stories and deliver tailored demos in the prospect’s language and industry context
Partner with Account Executives on deal strategy, technical positioning and next steps from the overview demo through close
Prepare Objectives Findings for prospects highlighting learning, path to signature, assessment of critical issues and how Revenova uniquely solves challenges
Respond quickly to late-stage needs, including follow-up demos, executive presentations, and SOW and scope questions
Lead product initiatives for inbound and outbound transportation and shipment tracking, translating business and customer needs into scalable solutions across parcel, LTL, truckload, ocean, and rail workflows.
Compensation
The salary range represents the expected compensation for this role at the time of posting. The specific base pay may be influenced by a variety of factors to include the candidate's experience, skill set, education, geography, business considerations, and internal equity. In addition to base pay, this role may be eligible for bonuses, or other forms of variable compensation.
Responsibilities
Define, prioritize, and manage the product backlog for assigned digital products, platforms, and capabilities.
Collaborate with business leaders and stakeholders to align product priorities with customer needs, digital strategy, and business objectives.
Translate customer insights, analytics, market trends, and stakeholder feedback into user stories, requirements, acceptance criteria, and product recommendations.
Serve as a key liaison between business partners, engineering teams, UX, analytics, data science, and external vendors.
Prioritize enhancements, defects, technical work, and feature development based on customer value, business impact, team capacity, and delivery timelines.
Requirements
Bachelor's degree in Business, Technology, Product Management, Information Systems, Computer Science, Marketing, Engineering, a related field, or equivalent professional experience.
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