Head of Data Engineering and Analytics

4 days ago

Denver, Colorado, United States Redaptive Inc Full time
Job Summary

Redaptive Inc is seeking a visionary Head of Data Engineering and Analytics to lead our organization's end-to-end data infrastructure and analytics capabilities.

This role will oversee key functions, including data warehousing, data engineering, data science, business intelligence (BI), and IOT hardware and firmware.

The successful candidate will architect and execute a scalable data strategy that supports business growth, enables data-driven decision-making, and ensures operational excellence across all data platforms.

Key Responsibilities
  • Develop and execute the vision and roadmap for the company's data engineering, data science, BI, and IOT hardware and firmware management strategies in alignment with business objectives.
  • Lead and mentor a high-performing team of engineers, data scientists, BI analysts, and hardware specialists.
  • Provide thought leadership on emerging trends and technologies in data engineering, AI, and analytics, ensuring the organization remains at the forefront of innovation.
  • Architect and optimize the data infrastructure, ensuring scalable, high-performance solutions for data storage, ETL pipelines, and analytics.
  • Oversee the design and implementation of the company's data warehouse, ensuring high availability, security, and reliability.
  • Partner with the IT team to ensure the hardware infrastructure supports the performance needs of large-scale data operations.
  • Lead the data science function to drive advanced analytics, machine learning, and AI initiatives.
  • Develop models and algorithms that deliver actionable insights to key business stakeholders; collaborate with Product, Software Delivery to productize data analytics.
  • Ensure that BI tools, dashboards, and reporting solutions meet the needs of various departments, driving data democratization and self-service analytics.
  • Partner with product, engineering, marketing, finance, and operations teams to identify data opportunities and integrate data-driven solutions into business processes.
  • Communicate data strategies and results to senior leadership and other stakeholders, ensuring alignment on priorities and resource allocation.
  • Lead company-wide data governance initiatives, set policies, enforcement, and monitor success.
  • Ensure data governance, security, and compliance with industry standards and regulations (e.g., GDPR, CCPA).
  • Collaborate closely with IT Department, Cybersecurity, and related teams to comply with standards such as SOC2 or ISO 27001.
  • Implement policies and procedures for data quality, data management, and security across the organization.
  • Oversee the budget and resource allocation for the data engineering, BI, data science, and hardware teams.
  • Ensure the efficient utilization of cloud platforms, hardware resources, and other technology investments.
Requirements
  • Exceptional leadership, communication, and collaboration skills, with a track record of coaching and mentoring high-performing teams.
  • Demonstrated ability to architect, build, and operate high-impact, large-scale technology initiatives.
  • Strong knowledge of cybersecurity and data privacy best practices.
  • Proven success in driving digital transformation initiatives.
  • Comfort working in an international setting and managing geographically distributed teams.
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field; MBA or advanced technical degree preferred.
  • 15+ years of experience working in data engineering, data management, data science, or analytics roles, with at least 5 years in a senior leadership capacity.
  • Proven experience managing a diverse set of technical functions, including hardware/firmware design and engineering of IOT devices.
  • Strong expertise in modern data architectures, data warehouses (e.g., Databricks, Redshift), ETL/ELT pipelines, and cloud platforms (e.g. AWS Timestream).
  • Proven experience leading large, cross-functional teams and managing complex data systems at scale.
  • Deep understanding of data science, including machine learning, statistical modeling, and algorithm development.
  • Expertise in BI tools, especially tooling that expands upon dashboarding frameworks (e.g., Tableau) and into AI-powered solutions that democratize data inquiries to be self-serve (e.g., Thoughtspot).
  • A proven track record of delivering scalable data solutions that drive business growth and efficiency.
Perks
  • Equity plan participation
  • Company-subsidized benefits: medical, dental, vision, life insurance
  • Flexible Spending Accounts: healthcare and dependent care
  • 6% 401(k) match with immediate vesting
  • Flexible Time Off
  • Expected annual salary: $207,000 - $239,000
  • Annual bonus 25%, subject to company and individual performance

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