Senior leadership now, and a team that owns it later.
When you need a Chief Data Officer, Chief AI Officer, or CISO before you can hire one, a fractional executive sets direction, delivers results, and builds the practices your team will keep.
What fractional leadership solves
The questions that bring people to us for this work, what is usually behind them, and what we do about it.
“We need executive leadership for data or AI, but cannot hire yet.”
The problemThe role is open, hiring is slow, and programs drift without an owner.
How we solve itA fractional CDO, Chief AI Officer, CISO, or program director with a charter, objectives, and decision rights.
“Why do our data and AI initiatives never add up?”
The problemToo many initiatives, no shared priorities, and vendors pulling in different directions.
How we solve itA rationalized portfolio, aligned vendors, and governance that decides what gets funded.
“What happens when the consultant leaves?”
The problemOutside leaders leave behind slide decks, not practices.
How we solve itPaired delivery, documentation, and training, so stewardship stays in-house.
Each answer rests on the same method. Here it is for fractional leadership.
How we do it
Four steps, in order, with governance designed in from the first one.
Charter the role
Objectives, decision rights, time commitment, and exit criteria agreed up front.
Stand up governance
Governance, data contracts, and model risk management in place.
Align the portfolio
Vendors and internal teams aligned, and the initiative portfolio rationalized.
Transfer it
Practices institutionalized, and the role handed to a permanent leader.
Data governance in this work
Governance is the part of leadership that outlasts the leader.
- Data contracts, metadata, and lineage practices your team can run.
- Model risk management and change control in place before AI scales.
- Post-incident learning built into the operating rhythm.
What you get
- A role charter with objectives and exit criteria
- A KPI pack leadership uses
- A rationalized initiative portfolio
- Data contracts, security baselines, and runbooks
- Handover to a permanent leader
A method is only useful once it is running. Here is how it gets there.
Phase by phase, with a gate at each one
Each gate is agreed before its phase begins, so nothing moves forward on optimism.
Charter
Scope the role: objectives, time commitment, and exit criteria.
Gate: Charter signedOperate
Weekly executive syncs, monthly steering reviews, quarterly planning.
Gate: Cadence and KPI pack in useInstitutionalize
Data contracts, security baselines, and runbooks your team owns.
Gate: Practices running without usHand over
A permanent leader hired or grown, with the role documented.
Gate: Permanent leader in place
How it runs
A weekly, monthly, and quarterly operating rhythm, scoped with objectives, time commitment, and exit criteria before it starts.
Where we do this work
Technical detail
Roles we fill
- Chief Data Officer or Chief Analytics Officer
- Chief AI Officer or Head of AI Engineering
- Chief Information Security Officer
- Program Director for data, AI, or cybersecurity initiatives
What the role covers
- Charters, measurable objectives, and decision rights
- Governance, data contracts, and model risk management
- Vendor alignment and portfolio rationalization
- Spatial stewardship, metadata and lineage, change control, and post-incident learning
Tell us which leadership seat is empty.
We will scope a fractional role with objectives, time commitment, and exit criteria.