Chief Technology Officer

East Daley Analytics · Greenwood Village, CO · 1 wk ago

On-siteManagement$250k–$300k/yrFull-time

About the role

We are seeking a CTO to lead the transformation of East Daley Analytics' technology foundation into a scalable, secure, extensible platform supporting product-led growth, enterprise data delivery, AI-enabled workflows, and faster innovation across various energy sectors.

Responsibilities

Own East Daley's technology strategy, architecture, engineering execution, data platform, software delivery, and technical talent strategy.
Partner directly with the CEO, product, research, data, commercial, and customer teams to define how East Daley's proprietary intelligence becomes software, data products, APIs, analytics workflows, and customer experiences.
Define the technical roadmap for Energy Data Studio and related data products. Establish a modern architecture supporting dashboards, APIs, Excel/data exports, customer workflows, internal modeling, and future AI-enabled capabilities.
Build scalable systems for ingesting, validating, transforming, versioning, and distributing high-value energy data. Ensure data workflows are more scalable, observable, documented, and less dependent on manual handoffs.
Create a high-performance engineering operating model with clear roadmaps, delivery discipline, release management, observability, documentation, QA, and customer feedback loops. Focus on faster product iteration without compromising analytical accuracy or customer confidence.
Identify where AI, machine learning, and automation can improve data ingestion, anomaly detection, research workflows, forecasting support, customer interaction, search, summarization, and product experience. Ensure these initiatives are pragmatic and commercially grounded.
Engage with strategic customers, prospects, and partners to understand workflow needs and translate them into product and platform priorities. Help the commercial team sell East Daley's technical credibility with sophisticated energy, finance, infrastructure, and trading customers.
Lead, coach, and scale the engineering, data engineering, platform, and technical product functions. Recruit senior technical talent, raise engineering standards, and build a culture where domain experts and technologists collaborate.
Ensure the platform meets the expectations of institutional customers, including data security, access control, uptime, permissioning, auditability, vendor management, and customer delivery.

Requirements

The ideal candidate has 10+ years of progressive technology leadership experience, including senior engineering, VP Engineering, CTO, or equivalent roles. They must have experience building and scaling data-intensive products, analytics platforms, workflow software, market intelligence platforms, or B2B SaaS products. A track record of leading engineering teams through architecture modernization, delivery discipline, technical debt reduction, platform reliability, and stronger product execution is essential. Strong fluency in data platforms, cloud architecture, APIs, analytics workflows, data pipelines, governance, and enterprise software delivery is required. The candidate should also have experience partnering with product, research, commercial, and customer-facing teams to turn domain expertise into product capabilities. A pragmatic view of AI and automation, with the ability to identify use cases that improve product experience, productivity, or data quality, is necessary. The candidate must have experience commercializing AI/ML capabilities in a trusted B2B information product.

Qualifications

The profile we're looking for includes experience in energy, commodities, infrastructure, financial data, market intelligence, trading analytics, supply chain analytics, geospatial data, or regulatory data. Experience in building products that combine proprietary data, third-party data, forecasting models, visualization, and customer workflow tools is valuable. Experience modernizing a founder-led or domain-expert-led technology organization without breaking what makes the company special is beneficial. Experience scaling distributed engineering teams and building a strong engineering culture across geographies is important. Experience with data acquisition, entity resolution, time-series data, model versioning, BI/visualization, APIs, and customer-facing data delivery is crucial. Experience commercializing AI/ML capabilities in a trusted B2B information product is highly desirable.

Skills

The successful candidate must have strong fluency in data platforms, cloud architecture, APIs, analytics workflows, data pipelines, governance, and enterprise software delivery. They should also have experience partnering with product, research, commercial, and customer-facing teams to turn domain expertise into product capabilities. A pragmatic view of AI and automation, with the ability to identify use cases that improve product experience, productivity, or data quality, is necessary. The candidate must have experience commercializing AI/ML capabilities in a trusted B2B information product.

Benefits

The anticipated base salary range for this position is $250,000 to $300,000 annually, depending on experience, qualifications, and fit for the role. The compensation package includes a target annual performance incentive of 20% to 30% of base salary and a comprehensive benefits package. Benefits include medical, dental, and vision coverage with company contributions, a 401(k) with a 3% company contribution, flexible spending and health savings account options with company contributions, company-paid life, accidental death, short-term disability, and long-term disability coverage. We are a collaborative, in-person, dog-friendly team!