Director, Analytics Engineering

Hearst Networks EMEA

. Lead a team of analytics engineers and contractors building trusted analytics capabilities for the Research organization .

Posted 11/3/2026full-timeNew York City • New York • United StatesLead💰 $170,940 - $200,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in analytics engineering and team leadership, with a strong focus on hiring, coaching, and performance management of analytics professionals. Proficient in advanced SQL, Python, and data governance practices, particularly within data-rich environments.

Highest-signal resume keywords

Analytics Engineering LeadershipAdvanced SQLStrong PythonData Governance in SnowflakeApplied Statistics and Predictive Modeling

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Analytics EngineeringData EngineeringAdvanced SQLPythonData ModelingPredictive ModelingTransformation WorkflowsGit-Based Development PracticesPerformance ManagementForecasting

Soft Skills

Trust-Building AbilityJudgmentComfort with AmbiguityCoachingCommunication

Tools & Technologies

SnowflakeGit

Industry Keywords

Media and EntertainmentData-Rich IndustryFast-Changing Industry

Tech Stack

Tools & technologies

PythonSnowflakeSQL

About the role

Key responsibilities & impact

Lead a team of analytics engineers and contractors building trusted analytics capabilities for the Research organization
Set direction, develop people, review critical designs and code, and selectively address complex problems
Own hiring, performance management, and engineering standards
Partner with the SVP on roadmap prioritization
Partner with IT Engineering on deployment, monitoring, and production operations
Hire, coach, and develop analytics engineers; own performance management, career growth, and capability planning
Set and enforce standards for data modeling, trusted metrics, testing, and governance
Manage contractors and distributed delivery partners
Translate ambiguous senior-stakeholder needs into scoped, deliverable solutions
Prioritize work based on value, capacity, and risk
Communicate progress, risks, and outcomes to technical and nontechnical audiences
Set readiness standards and handoffs with IT Engineering for production operations
Guide forecasting, propensity, segmentation, and attribution work
Evaluate emerging analytics, AI, and agent-based capabilities and guide responsible adoption

Requirements

What you’ll need

10+ years of progressive experience in analytics engineering, analytics, or data engineering
5+ years leading technical teams
Demonstrated success hiring, coaching, and managing the performance of analytics or data professionals
Bachelor’s degree in a quantitative or technical field, or equivalent practical experience
Advanced SQL
Strong Python
Experience governing transformation workflows in Snowflake with Git-based development practices
Working fluency in applied statistics and predictive modeling
Must be commutable to an A+E office location in New York City, Los Angeles, Chicago, or Stamford, CT
Experience in media and entertainment or another data-rich, fast-changing industry preferred
Pragmatic player-coach with strong judgment, trust-building ability, and comfort with ambiguity and change preferred

Benefits

Comp & perks

Healthcare coverage
401k matching
Competitive total compensation package
Annual incentive target of 17.50%