Fractional Chief Data Officer
Executive data leadership for companies ready to grow. I build the foundation, the pipelines and the team, then turn your data into revenue. Leadership, when leadership is needed.
For twenty-five years I have taken scattered, messy information and turned it into products that companies trust and customers pay for.
Most companies know their data could be doing more. Few have someone at the leadership table who has built it from nothing and made it pay.
Design a database or data warehouse from scratch, sized for where the business is going, not just where it is today.
Find the sources that matter, then build the pipelines, ETL and quality checks that keep data flowing and trustworthy.
Define the roles, vet the candidates and stand up a data and technology team that keeps delivering long after the engagement ends.
Package your data into analytics products, insights and services that customers will pay for and that move EBITDA.
Use agentic AI and LLMs to replace slow, manual data work with repeatable processes your team can trust.
Put data quality, security and compliance frameworks in place, and assess the technology behind a merger or acquisition.
My work was never only about data. As a member of the senior executive committee, I sat in the boardroom and helped drive the decisions behind revenue growth and EBITDA expansion. I bring that same perspective to your leadership team, whether or not the question starts with data.
Find where the next dollar of revenue and margin will come from, then build the plan and the team to capture it.
Turn complex operations and technology into clear, confident stories that boards and investors can act on.
A seasoned sounding board for CEOs and leadership teams on priorities, budgets, vendors and trade-offs.
Hands-on experience building a platform through a successful acquisition, and evaluating technology in M&A due diligence.
My career was built on some of the hardest data there is: real-time energy trading, natural gas, crude oil, NGLs, power and metals. The same four steps work in any business that runs on information.
Map what you have and what you are missing, then bring every source in reliably, from internal systems to live market feeds.
Clean, standardize and structure it with shared taxonomies so everyone in the company is working from the same numbers.
Layer on analytics, models and AI to surface what no single source can show on its own.
Ship it as a product, dashboard or decision tool that leaders use and, where it makes sense, customers buy.
Deep roots in energy and commodities. Built for any business where decisions depend on data from many places at once.
From a lean startup team to a global information company to the executive committee.
View full profile on LinkedInExecutive committee member. Set enterprise data and AI strategy, turned manual processes into automated data IP and built governance for growth.
Built the data warehouse roadmap, AI-driven optimization models and a center-of-excellence data team. Owned budget, architecture and vendors.
Led a multinational team turning raw data into commercial analytics products across oil, petrochemicals, metals, power and natural gas.
Developer and client retention specialist on a first-of-its-kind energy trading SaaS platform. A 6 to 10 person team reached $5M+ in annual revenue before its acquisition by S&P Global.
Every company is at a different stage, so each engagement is shaped around what you actually need.
An ongoing, part-time Chief Data Officer who joins your leadership team, sets the strategy and holds the work accountable.
A defined engagement to stand up something specific, such as a new database, a data collection pipeline or your first data team.
A trusted second opinion for CEOs, boards and investors on growth strategy, data, technology risk or an acquisition target.
Tell me where your business is today and where you want it to go. The first conversation is free, and you will leave it with at least one idea you can use.
Email Gary to book a call