Note: The job is a remote job and is open to candidates in USA. Harnham is a company seeking a Director of Analytics Engineering to lead the development of a modern enterprise analytics ecosystem. The role owns analytics platform strategy, architecture, governance, and delivery while leading an analytics engineering organization and remaining involved in technical decision-making. The director will drive scalable data products, self-service and embedded analytics, operational reliability, and cross-functional data strategy.
Responsibilities
- 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
- 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
- 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
- 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
- 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
Skills
- 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
- 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
- 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
- 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
- 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
Company Overview
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