Senior Manager, Data Engineering

Location: New York

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* Job Description:

**** SENIOR MANAGER - DATA & TECH
**** Role Overview
** The
** Senior Manager, Data & Tech
** is a senior technical leader
** responsible for owning complex reporting platforms and data engineering initiatives end-to-end**. This role partners closely with account, product, and engineering stakeholders to design scalable, reliable solutions and set technical direction across multiple work streams.

The role is
** highly hands-on and ownership-driven, requiring strong architectural judgment
** and the ability to lead through influence rather than formal authority. While the position does not currently center on managing associates, it plays a critical leadership role in shaping platform strategy, execution standards, and cross-team alignment. Scope may evolve over time as organizational needs change.

This position requires comfort operating in ambiguity and balancing near-term delivery with longer-term platform strategy, data quality, and maintainability.
** Responsibilities
* ** Own the technical direction and execution of complex reporting platforms and data pipelines across multiple accounts or work streams
* Serve as the technical owner for data architecture, transformation logic, and analytics enablement
* Partner with account and client-facing teams to translate evolving business requirements into scalable, durable technical solutions
* Act as a senior technical escalation point, providing guidance on architecture, data modeling, automation patterns, and performance optimization
* Lead planning and prioritization across concurrent initiatives, balancing delivery timelines, technical debt, and data quality standards
* Establish, document, and enforce best practices for data quality, validation, monitoring, and operational reliability
* Evaluate and drive improvements in tooling, processes, and overall platform architecture
* Provide clear technical structure, expectations, and accountability across distributed and cross-functional contributors
* Ensure roles, responsibilities, and ownership are well-defined across projects
* Communicate complex technical concepts clearly to non-technical stakeholders to drive alignment and informed decision-making
** Requirements
* ** 6+ years of experience in analytics, business intelligence, data engineering, or related roles
* Demonstrated experience owning and evolving data pipeline and analytics architectures (ETL/ELT, platforms, semantic layers)
* Hands-on experience with modern data platforms such as Databricks and/or Microsoft Fabric
* Strong technical foundation in data modeling, transformation logic, automation, and performance
* Proven ability to lead technical initiatives through ambiguity, from problem definition through making sound tradeoffs between speed, data quality, and long-term maintainability
* Strong organizational and prioritization skills, with the ability to manage shifting priorities multiple stakeholders, accounts, and concurrent initiatives
* High comfort level coordinating work across remote and cross-functional contributors
* Exceptional attention to data quality, consistency, and reliability
* Track record of continuous self-development and independent learning
** Nice to Have
*** Advanced Power Query / M experience
* Strong experience with Power BI and semantic model design
* Experience with visual data preparation tools such as Alteryx or Trifacta
* Experience operating in or designing lakehouse-style architectures
* Familiarity with medallion architecture concepts and modern analytics engineering patterns
* Media or advertising technology experience
** What we are looking for
** This role is a senior, hands-on technical leader who has
** personally owned complex data and analytics platforms end-to-end**. The ideal candidate has operated as the technical decision-maker in ambiguous environments, not just executed predefined work.

Strong candidates typically demonstrate:
* End-to-end ownership of data platforms or reporting ecosystems (architecture, modeling, transformations, delivery, and reliability)
* Hands-on experience designing and evolving data pipelines and analytics layers, not just managing teams that do
* Comfort making…