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Designs, builds, and maintains enterprise lakehouse data pipelines, transformation layers, and data models. Develops scalable batch and streaming solutions using Spark, Kafka, and Flink; implements medallion architecture, data quality monitoring, and infrastructure as code. Troubleshoots performance and data incidents, participates in code reviews, collaborates on data modeling, and mentors junior and mid-level engineers.

Owns the lifecycle, roadmap, and delivery of data products on a lakehouse platform. Defines requirements, schemas, SLAs, access controls, documentation, and KPIs; manages catalogs and metadata; leads sprint planning, backlog grooming, capacity, and releases; and coordinates with data engineering, governance, security, and compliance teams to ensure quality, adoption, discoverability, and business value.

Lead the strategy, roadmap, development, and adoption of Dynata’s enterprise data platform and lakehouse ecosystem. Prioritize platform-enabled use cases, align investments with business value, oversee implementation with engineering and data teams, establish governance and success metrics, and drive stakeholder adoption. Initially hands-on, the role will later build and scale a product management organization while partnering with executives, vendors, and cross-functional teams.

Senior engineering leader responsible for architecture, delivery, operations, reliability, and scalability of the enterprise Data Lakehouse. Leads cross-functional teams, defines platform SLAs, cost and quality targets, drives platform adoption and best practices, manages vendor/cloud relationships, ensures regulatory and data security compliance, and enables self-service analytics and AI/ML platform enablement.

Lead and coordinate the Agile Release Train to ensure synchronized quarterly delivery. Facilitate PI Planning and all cross-team ceremonies, manage dependencies, drive program-level continuous improvement, report ART health and metrics, coach ART roles on SAFe, and ensure documentation, compliance, and predictable delivery of business value each Program Increment.

Lead and coordinate the Agile Release Train to ensure predictable delivery of business value. Facilitate PI Planning and ART ceremonies, manage the Program Board, coach ART roles, track metrics (Predictability, Flow, Business Value), resolve cross-team dependencies and impediments, drive continuous improvement, and report ART health to Chapter leadership.

Sell audience data solutions to agencies, publishers, and ad tech partners. Prospect and close new logos, build pipeline, run discovery, create proposals and negotiate contracts, collaborate with product and ops for activation, and meet quarterly and annual revenue targets.

Serve as primary day-to-day client contact to deliver quotes, coordinate survey delivery, solicit additional business, and ensure excellent outcomes. Build deep product knowledge, manage relationships, uncover client needs, execute bids efficiently, collaborate with sales and delivery teams, and provide competitive insights and objection handling to retain and grow accounts.

Drive revenue by identifying and closing publisher partnerships for Offerwall distribution across loyalty, rewards, gaming, cashback, fintech, and content platforms. Build pipeline, negotiate contracts, customize Dynata products for segments, meet quarterly revenue and profit targets, and analyze performance to generate actionable insights.