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Strong global brand, broad TPM role, metro location, and cross-functional data needs amplify competition.
TPM skills transfer across industries but data-platform specialization raises domain-specific expectations.
Explicit 7+ years plus engineering and data experience and executive-level communication make filters strict.
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Lead large-scale data and analytics program management across Data & Audience Platform, coordinating cross-functional teams including engineering, business, and data science.
Own end-to-end delivery of Analytics Implementation Proposals (AIPs) ensuring alignment across Product, Engineering, and QA with clear execution of data instrumentation and schema events.
Communicate progress, risks, and status to executive leadership, including C-level stakeholders, while managing timelines, dependencies, and mitigating impediments.
7+ years of program and/or product management experience.
3+ years experience in Engineering roles such as Software Engineering, Data Engineering, or Data Science.
2+ years of experience specifically in Data, Analytics, or Science Engineering.
Bachelor's degree in a relevant field or equivalent practical experience.
Experienced in managing complex, multi-stakeholder technical programs with strong executive communication and presentation skills.
Strong technical understanding of data pipelines, instrumentation flows, event schema (JSON), and analytics consumption to partner effectively with engineering teams.
Able to navigate AI technologies (LLM systems, retrieval-augmented architectures) and incorporate AI-driven features into production environments.