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Our Primary Offering

Fractional CDO &
CTO Leadership

Executive-level data and AI leadership embedded into your organization — setting vision, leading teams, and driving the strategic and cultural change that makes data a real competitive advantage. Without the full-time hire.

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The Leadership Gap

Most organizations are making data decisions without data leadership

The companies that succeed with data and AI aren't the ones with the best tools — they're the ones with leadership that knows how to build a data culture, align the organization around a strategy, and hold the line when technical decisions get political.

That's what a CDO or CTO actually does. And in most mid-market organizations, nobody is doing it. Data sits under an engineering leader who's already stretched thin, or under a business leader who doesn't speak the technical language, or under nobody in particular — which means every team makes its own decisions and the center doesn't hold.

Oak Shore steps into that leadership gap. We don't come in to run a project — we come in to lead a function, if only for a defined period, until you're ready to hire permanently or until you realize the fractional model is working well enough that you don't need to.

67%
of mid-market companies have no dedicated data or AI executive on the leadership team
$400K+
average total compensation for a full-time CDO, before benefits, equity, or the 6–9 months to hire one
3–5×
more likely to achieve AI ROI when there is executive-level data leadership driving the initiative

What a Fractional CDO/CTO Actually Does

Leadership responsibilities, not consulting deliverables

This is not a strategy engagement. This is an executive role — with the accountability, visibility, and organizational authority that comes with it.

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Vision

Data & AI Vision Setting

Define where the organization needs to go with data and AI — in language that resonates with the board, the executive team, and the technical teams executing the work. Build the narrative that creates organizational alignment and investment prioritization.

What this looks like
  • Multi-year data and AI strategy with clear milestones
  • Board and executive presentation materials
  • Organization-wide data principles and priorities
  • Investment case and prioritization framework
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Leadership

Team Leadership & Development

Lead your data engineering, analytics, and AI teams directly — attending standups, running performance conversations, making hiring decisions, resolving team conflicts, and building the culture that attracts and retains top data talent.

What this looks like
  • Direct management or senior oversight of data teams
  • Hiring strategy and candidate evaluation
  • Team structure and role design recommendations
  • Career development and retention planning
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Governance

Data Governance & Organizational Design

Build the operating model, policies, and accountability structures that make data governance real rather than aspirational. Define who owns what, how decisions get made, how quality is maintained, and how the data function scales as the business grows.

What this looks like
  • Data governance framework and ownership model
  • Data steering committee design and facilitation
  • Policy creation and enforcement mechanisms
  • Data product ownership and accountability structure
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AI Strategy

AI Strategy & Executive Sponsorship

Own the AI roadmap at the executive level — championing responsible use cases, setting guardrails, managing vendor relationships, and providing the organizational air cover that AI initiatives need to move from pilot to production without getting killed by competing priorities.

What this looks like
  • AI use case prioritization and investment decisions
  • AI governance and responsible use framework
  • Vendor and partner evaluation and selection
  • Executive sponsorship for high-priority AI initiatives
📢
Communication

Board & Stakeholder Communication

Translate the work of data and technology teams into language that matters to boards, investors, and business stakeholders. Own the data and AI narrative externally — and build the internal credibility that makes cross-functional work actually happen.

What this looks like
  • Board-level data and AI reporting and presentations
  • Investor due diligence support for data capabilities
  • Cross-functional alignment and stakeholder management
  • Executive communication on data incidents and risks
🔁
Transition

Permanent Hire Readiness

When the time comes to hire a full-time CDO or CTO, Oak Shore helps you get it right — defining the role, establishing what success looks like in the first 90 days, evaluating candidates, and ensuring continuity through the transition so momentum isn't lost.

What this looks like
  • Role definition and compensation benchmarking
  • Candidate evaluation and interview design
  • 90-day onboarding plan for incoming executive
  • Structured knowledge transfer and handoff

How It Works

A structured engagement, not an open-ended retainer

We're deliberate about how we structure fractional engagements so that both sides know what to expect — and so there's a clear path to value from week one.

1

Executive Discovery

2–3 week immersion: stakeholder interviews, data landscape assessment, team evaluation, and understanding the business goals that should drive data decisions.

2

90-Day Plan

A clear, agreed-upon plan for the first 90 days: what we'll focus on, what we'll deliver, and how we'll measure whether the engagement is working.

3

Embedded Leadership

Active participation in leadership meetings, team standups, vendor calls, and stakeholder conversations. We operate as a real member of your leadership team.

4

Quarterly Reviews

Every quarter, we assess progress, adjust priorities, and evaluate whether to continue, expand, or begin a transition to a permanent hire. No autopilot retainers.

Engagement Structures

How we scope Fractional CDO/CTO engagements

The right structure depends on your current state and the urgency of what you're trying to solve.

Is This Right For You?

Signs your organization needs fractional data leadership

Your data team is doing work, but leadership doesn't understand what they're building or why it matters to the business.

You've been told AI should be a priority, but nobody has defined what that means or where to start.

Every business unit has its own definition of key metrics — and leadership debates the numbers instead of acting on them.

You've hired good data people, but the function doesn't have the leadership or organizational standing to make an impact.

You're preparing for a Series B, a board review, or an M&A process and need to credibly present your data and AI capabilities.

You want a full-time CDO or CTO eventually, but you're not ready to commit $400K+ before you know what the role should look like.

Why Listen to Us

We've done this work at the highest levels

Fractional leadership only works if the person in the seat has actually sat in the seat before. Here's the caliber of experience we bring to every engagement.

Our practice is built on more than a decade of executive data and technology leadership — spanning SVP roles at high-growth consumer internet companies, enterprise SaaS organizations, and one of the largest cloud platforms in the world. That breadth isn't incidental. Understanding how data leadership operates at each stage of organizational maturity — and at each layer of scale — is what makes the advice useful rather than generic.

A significant portion of that experience was earned inside AWS, where we led global practice development at the intersection of data architecture, cloud modernization, and executive advisory. That work meant sitting across the table from CDOs and CTOs at hundreds of organizations, understanding what was actually blocking their data strategies, and translating complex technical decisions into board-level business outcomes. The result is a perspective that is simultaneously technical enough to be credible with engineering teams and business-fluent enough to hold a room of executives.

We've built data organizations from the ground up, led them through cloud migrations and platform modernizations, designed AI roadmaps under real resource constraints, and managed the full organizational weight that comes with owning data at the SVP level — the politics, the budget fights, the board presentations, and the team development that sustains a function over time. When we step into a fractional engagement, we're drawing on that institutional memory, not textbook frameworks.

"The value isn't in having a strategy — it's in having the organizational credibility and executive experience to make one stick. That's what we bring."

Common Questions

What organizations ask before starting

Consulting firms deliver projects. A Fractional CDO or CTO holds a leadership role. The difference is accountability, organizational standing, and continuity. We attend your leadership team meetings. We manage your people. We make decisions and own the outcomes. That's categorically different from a consulting firm that hands you a roadmap and bills by the hour.
That's calibrated to what your organization actually needs. Most engagements run 2–3 days per week, which is enough for meaningful leadership without the full-time cost. For organizations in a more acute transformation phase, we can scale up. We discuss and agree on the right cadence before the engagement starts — and we revisit it quarterly.
That's common and it works well. Fractional CDO/CTO engagement often fills the layer above an existing VP or director — providing the executive context, organizational advocacy, and board-level translation that a VP-level leader doesn't always have the standing or bandwidth to deliver. We work with your existing team, not around them.
We operate under a full mutual NDA and treat client data, strategy, and team information with the same discretion a permanent executive would. We work with a small number of clients at any given time specifically so we can give each one the focus and confidentiality it deserves.
We review every quarter and make a clear-eyed assessment: is the engagement continuing to deliver value, and is it still the right model? Engagements typically end when one of three things happens: you hire a permanent leader (and we help you do that well), the function reaches a level of maturity that no longer requires fractional executive support, or we mutually agree that the fit isn't right. We structure exits with proper knowledge transfer so nothing is lost.

Supporting Capabilities

Execution capabilities that back the leadership

Fractional CDO/CTO leadership is most powerful when backed by deep execution capability in the areas that matter most.

Data Strategy & Architecture

Build the foundation the strategy requires.

Analytics & BI

Turn the platform into decisions leadership trusts.

AI & ML Implementation

Execute on the AI roadmap the CDO sets.

Is this the leadership your organization is missing?

Let's have a direct conversation about what a Fractional CDO or CTO engagement would look like for your specific situation.