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Global brand, metro Bangalore, and popular product title increase applicant density, though seniority tempers competition.
Requires ad-tech measurement and industry experience, making cross-industry transferability low.
Explicit years, industry expertise, and technical/data requirements create stringent mandatory filters.
Lead product strategy and execution for the Data Processing Pillar focusing on backend pipelines and methodologies supporting brand lift measurement suite.
Own product backlog refinement, sprint planning, ticket triage, and user acceptance testing while serving as the liaison between technical teams and clients/business stakeholders.
Collaborate cross-functionally with engineering, data science, sales, operations, third-party vendors, and clients to deliver data ingestion, transformation, and integrations for outcomes measurement solutions.
5+ years of product management experience focused on data platforms, ad tech, or media analytics solutions; 8+ years total relevant advertising or media industry experience.
Strong understanding of digital and TV advertising ecosystem including ad tagging, audience identity data, and relevant data privacy regulations (e.g. GDPR, CCPA).
Proficiency in SQL with knowledge of data architecture, APIs, cloud infrastructure (AWS, Azure), and data orchestration tools like Airflow.
Experience with Agile methodologies (Scrum, Kanban) and tools such as Jira and Confluence.
Experienced in balancing short-term client delivery with long-term platform scalability, data governance, and technical debt management.
Demonstrated ability to translate complex client/business needs into detailed technical specifications and to manage end-to-end product delivery with autonomy.
Strong communicator capable of influencing both technical and non-technical stakeholders including executive leadership and external clients.