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Strong Tier-1 brand, hybrid role, mid-level generalist title, and metro location increase competition.
Requires industrial asset-intensive domain experience and platform/data fluency, limiting cross-industry transferability.
Explicit 5+ years, leadership requirement, industrial domain expertise, and platform/tech expectations raise filter strictness.
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Lead end-to-end lifecycle of technology products supporting Upstream Logistics, including strategy, delivery, adoption, and business value realization.
Define product vision, roadmap, and value proposition aligning with enterprise priorities like data platform simplification, automation, and cost efficiency.
Provide technical guidance for modern data architecture solutions and coordinate cross-functional teams to deliver scalable logistics technology impacting safety, reliability, efficiency, and cost.
Bachelor’s degree in Engineering, Computer Science, Data Science, or related field.
Minimum 5 years experience in data, digital, or technology delivery in global, complex environments.
At least 2 years leading and developing teams.
Strong business and domain knowledge in industrial or asset-intensive environments; experience specifically related to upstream logistics is implied but not explicitly stated as mandatory.
Experienced in managing large-scale product delivery integrating data platforms and digital engineering in industrial or asset-heavy sectors.
Proven ability to lead cross-functional, multi-disciplinary teams and collaborate across business and technical stakeholders to drive product adoption and value.
Strong commercial acumen with strategic product leadership and execution focus in technical environments involving modern data architectures such as AWS and Palantir.