Director, Analytics Engineering

Harnham; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

Harnham seeks a Director of Analytics to define and execute a vision for a modern enterprise analytics ecosystem serving internal stakeholders and external customers at scale. You will own strategy, architecture, and delivery of a large-scale analytics platform supporting reporting, self-service analytics, data-driven decision-making, and embedded analytics.

This role requires hands-on leadership with deep technical expertise in data pipelines, semantic modeling, and client-facing analytics

Qualifications

• 10+ years in analytics engineering, data engineering, BI, or related fields.
• 5+ years leading analytics or data teams.
• Proven delivery of enterprise analytics platforms and data products.
• Experience recruiting and retaining technical talent.
• Balance strategic leadership with hands-on involvement.

Responsibilities

• Define strategy, architecture, and execution of a large-scale analytics platform.
• Lead end-to-end data product delivery across ingestion, warehousing, modeling, visualization, and embedded analytics.
• Coach analytics teams, drive ownership and continuous improvement.
• Ensure governance, security, data quality, and observability.
• Communicate complex concepts to executives and stakeholders.

Skills

Analytics Leadership

Data Modeling

SQL

Python

Education

Advanced degree in Data Science, CS, Math, Engineering

Tools

Looker

Tableau

Power BI

Python

Git

CI/CD

Airflow

Job description

Director of Analytics

Lead the Future of Data, Analytics & Business Intelligence

Are you a hands‑on analytics leader who thrives on building scalable data platforms, leading high‑performing teams, and delivering analytics products that drive real business impact? We are seeking an experienced Director of Analytics to define and execute the vision for a modern enterprise analytics ecosystem that serves both internal stakeholders and external customers at scale.

This is a unique opportunity for a builder and strategist who has personally delivered production‑grade analytics solutions and is passionate about transforming data into competitive advantage. You'll lead a talented analytics engineering team while remaining deeply involved in architecture, platform design, governance, and technical decision‑making.

The Opportunity

As Director of Analytics, you will own the strategy, architecture, and execution of a large‑scale analytics platform that supports reporting, self‑service analytics, data‑driven decision‑making, and embedded analytical experiences.

This is not a management‑only role. We are looking for a technical leader who has built data pipelines, designed semantic models, developed client‑facing analytics products, and understands the challenges of delivering reliable analytics in complex environments.

What You’ll Lead

Analytics Platform Strategy & Delivery

• Define and execute a long‑term analytics and business intelligence roadmap.
• Lead the end‑to‑end delivery of data products across ingestion, warehousing, modeling, visualization, and embedded analytics.
• Design scalable, client‑facing analytics experiences and self‑service reporting capabilities.
• Establish standards for data lifecycle management, governance, and platform reliability.
• Ensure analytics products align with business objectives and user needs.

Technical Leadership

• Serve as the senior authority on analytics architecture, data modeling, warehouse design, and business intelligence strategy.
• Provide hands‑on guidance on data pipelines, performance optimization, cloud architecture, and cost management.
• Champion modern analytics engineering practices including CI/CD, version control, testing, automation, and infrastructure‑as‑code.
• Drive innovation while balancing scalability, maintainability, and operational excellence.
• Evaluate emerging technologies and determine where they add meaningful value.

Team Leadership & Development

• Build, mentor, and lead a high‑performing analytics engineering organization.
• Foster a culture of ownership, technical excellence, collaboration, and continuous improvement.
• Recruit top‑tier analytics and data engineering talent.
• Establish career development frameworks, technical mentorship programs, and succession planning.
• Partner closely with engineering, product, operations, and business leaders.

Data Governance & Operations

• Implement governance frameworks covering security, access controls, compliance, lineage, quality, and observability.
• Define and monitor service level expectations for data availability, freshness, and platform performance.
• Establish operational best practices that ensure reliability and trust in analytics assets.
• Build monitoring and alerting capabilities across the analytics ecosystem.

Executive & Stakeholder Partnership

• Translate business strategy into scalable analytics capabilities.
• Communicate complex technical concepts to executive and non‑technical audiences.
• Act as a trusted advisor on analytics strategy, data architecture, and reporting solutions.
• Influence cross‑functional decision‑making through data and insight.

What We’re Looking For

Leadership Experience

• 10+ years of experience in analytics engineering, data engineering, business intelligence, or related technical disciplines.
• 5+ years leading and developing high‑performing analytics or data engineering teams.
• Proven success delivering enterprise‑scale analytics platforms and data products.
• Strong experience recruiting, mentoring, and retaining technical talent.
• Demonstrated ability to balance strategic leadership with hands‑on technical involvement.

Technical Expertise

• Deep experience with modern cloud‑based data warehousing and analytics architectures.
• Advanced SQL expertise, including performance tuning and large‑scale data modeling.
• Strong knowledge of business intelligence and visualization platforms such as Looker, Tableau, or Power BI.
• Experience with semantic modeling, self‑service analytics, and governed reporting environments.
• Expertise in Python for data engineering, automation, and analytics workflows.
• Familiarity with data transformation, orchestration, and pipeline development tools.
• Understanding of modern software engineering practices including Git, CI/CD, DevOps, and infrastructure automation.
• Experience working across cloud environments such as AWS, Azure, and/or GCP.

Governance & Performance

• Experience implementing enterprise data governance frameworks.
• Knowledge of security, compliance, data quality, observability, and monitoring practices.
• Strong background in system optimization, scalability, and performance management.

Communication & Leadership Style

• Outstanding communication and stakeholder management skills.
• Ability to influence executives, technical teams, and business leaders alike.
• Strategic thinker with a builder's mindset.
• Comfortable operating in fast‑changing environments and making informed decisions amid ambiguity.
• Passionate about using data to drive measurable business outcomes.

Preferred Qualifications

• Experience building customer‑facing or embedded analytics products.
• Expertise supporting multi‑tenant analytics environments.
• Knowledge of infrastructure‑as‑code and containerization technologies.
• Exposure to AI and machine‑learning‑enabled analytics solutions.
• Advanced degree in Data Science, Computer Science, Mathematics, Engineering, or a related quantitative discipline.