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About East Daley

East Daley Analytics is building the energy market intelligence platform for professionals who need to understand how North American oil, natural gas, NGLs, infrastructure, producers, and midstream companies connect. Our mission is to drive transparency in energy markets by combining proprietary data, asset-level models, expert research, and workflow-ready software.

Our Energy Data Studio® platform helps customers forecast, compare, and analyze infrastructure and commodity performance across crude oil, natural gas, and NGL markets. The platform brings together operational and financial data, production forecasts, pipeline utilization, takeaway capacity, contract terms, counterparty risk, regulatory filings, dashboards, and exportable datasets. East Daley has described its broader mission as helping clients make informed, data-driven energy decisions in rapidly changing markets. 

We are now looking for a CTO to help scale East Daley from a high-value research and data business into a category-defining energy intelligence platform.

The Opportunity

This is a hands-on executive technology leadership role for someone who has built and scaled complex data, analytics, AI, and SaaS products — ideally in markets where domain expertise, data quality, and customer trust matter as much as software velocity.

The right leader will inherit a strong foundation: differentiated market expertise, proprietary models, a growing Energy Data Studio platform, and a team with deep knowledge of energy fundamentals. Your mandate will be to transform that foundation into a scalable, modern, secure, and extensible technology platform that can support product-led growth, enterprise data delivery, AI-enabled workflows, and faster innovation across natural gas, crude, NGLs, and capital intelligence.

This role is designed for a technology leader who wants to be close to the business, close to customers, and close to the product — not someone who wants to run a detached engineering organization.

What You’ll Own

You will own East Daley’s technology strategy, architecture, engineering execution, data platform, software delivery, and technical talent strategy. You will 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 scalable customer experiences.

The core mandate includes:

Platform strategy and architecture
Define the technical roadmap for Energy Data Studio and related data products. Establish a modern architecture that supports dashboards, APIs, Excel/data exports, customer-specific workflows, internal modeling, and future AI-enabled capabilities.

Data platform and model operations
Build scalable systems for ingesting, validating, transforming, versioning, and distributing high-value energy data. East Daley’s differentiation depends on data trust, lineage, transparency, and repeatable model workflows; the CTO must make those capabilities stronger and more scalable.

Product-engineering execution
Create a high-performance engineering operating model with clear roadmaps, delivery discipline, release management, observability, documentation, QA, and customer feedback loops. The goal is faster product iteration without compromising analytical accuracy or customer confidence.

AI and automation strategy
Identify where AI, machine learning, and automation can improve data ingestion, anomaly detection, research workflows, forecasting support, customer interaction, search, summarization, and product experience. This should be pragmatic and commercially grounded, not AI theater.

Customer-facing technology leadership
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 to sophisticated energy, finance, infrastructure, and trading customers.

Team leadership and talent development
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 deeply.

Security, reliability, and enterprise readiness
Ensure the platform meets the expectations of institutional customers, including data security, access control, uptime, permissioning, auditability, vendor management, and scalable customer delivery.

What Success Looks Like

In the first 6–12 months, success will mean:

East Daley has a clear technology strategy tied directly to business growth, product strategy, and customer value.

The Energy Data Studio roadmap is translated into an executable engineering plan with improved release velocity, prioritization, and accountability.

Core data workflows are more scalable, observable, documented, and less dependent on manual handoffs.

Engineering, data, product, research, and commercial teams are operating from a shared roadmap and shared technical/product language.

Customers experience faster improvements in usability, performance, data access, exports, APIs, visualization, and workflow integration.

The company has a credible path toward AI-enabled energy intelligence capabilities that are useful, trusted, and differentiated.

The Profile We’re Looking For

We are especially interested in leaders who have built sophisticated B2B data, analytics, SaaS, or market intelligence platforms. The ideal candidate has operated at the intersection of engineering, data, product, and commercial strategy.

You may be a fit if you have:

10+ years of progressive technology leadership experience, including senior engineering, VP Engineering, CTO, or equivalent roles.

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 scale: architecture modernization, delivery discipline, technical debt reduction, platform reliability, and stronger product execution.

Strong fluency in data platforms, cloud architecture, APIs, analytics workflows, data pipelines, governance, and enterprise software delivery.

Experience partnering with product, research, commercial, and customer-facing teams to turn domain expertise into scalable product capabilities.

A pragmatic view of AI and automation, with the ability to identify real use cases that improve product experience, internal productivity, or data quality.

Credibility with both technical teams and executive stakeholders. You can go deep with engineers, but you can also explain technical tradeoffs to non-technical leaders and customers.

A bias toward shipping, learning, and iterating — while respecting that East Daley’s brand depends on accuracy, transparency, and analytical trust.

Energy experience is valuable but not mandatory. Curiosity and respect for complex domain expertise are mandatory.

Experience That Would Stand Out

Experience in energy, commodities, infrastructure, financial data, market intelligence, trading analytics, supply chain analytics, geospatial data, or regulatory data.

Experience building products that combine proprietary data, third-party data, forecasting models, visualization, and customer workflow tools.

Experience modernizing a founder-led or domain-expert-led technology organization without breaking what makes the company special.

Experience scaling distributed engineering teams and building strong engineering culture across geographies.

Experience with data acquisition, entity resolution, time-series data, model versioning, BI/visualization, APIs, and customer-facing data delivery.

Experience commercializing AI/ML capabilities inside a trusted B2B information product.

Why This Role Is Compelling

This is a rare opportunity to own technology for a business with real proprietary differentiation. East Daley is not trying to build another generic dashboard product. We are building the system of record for energy market participants who need to understand asset-level fundamentals, infrastructure constraints, cross-commodity relationships, and financial exposure.

The market is moving toward more complex, more data-driven decision-making. East Daley already has the domain expertise, models, customer trust, and proprietary data foundation. The CTO’s job is to help turn that foundation into a platform that scales.

For the right leader, this is a chance to build something that matters: software and data infrastructure that improves how capital, commodities, infrastructure, and risk are understood across the energy value chain.

Compensation & Benefits

The anticipated base salary range for this position is $250,000 to $300,000 annually, depending on experience, qualifications, and demonstrated fit for the role. The compensation package also includes a target annual performance incentive of 20% to 30% of base salary and a comprehensive benefits package. East Daley Analytics expects to hire within this range but may consider compensation outside the stated range for an exceptional candidate. 

• Medical, dental, and vision coverage with company contributions.
• 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.
• Collaborative, in-person team environment in Greenwood Village, CO.
• We’re a collaborative, in-person team — and yes, we’re dog-friendly! Several team members bring their well-behaved dogs to the office from time to time.

Why Join East Daley

• A relationship-driven sales seat with direct access to senior decision-makers and influential market participants.
• A differentiated product suite in a complex, high-value market.
• A visible line between performance, recognition, reward, and career opportunity.
• A fast-moving environment where strong communicators and commercial problem solvers can shape outcomes.
• The chance to help build the commercial engine of a scaling energy analytics business.

Predictive Index Assessments

East Daley Analytics uses Predictive Index assessments as one input in our hiring process. Candidates are asked to complete the PI Behavioral Assessment and PI Cognitive Assessment as part of the evaluation process.

Equal Employment Opportunity

East Daley Analytics is an Equal Employment Opportunity employer and welcomes all qualified applicants. Applicants will receive fair and impartial consideration without regard to race, sex, color, religion, national origin, age, disability, veteran status, genetic information, or any other legally protected status.

This job description is not designed to contain a comprehensive listing of all activities, duties, or responsibilities required of the employee. Duties, responsibilities, and activities may change at any time with or without notice.