For boards, executives & regulated organizationsThe data, risk, and AI
leadership boards rely on.
Engage senior fractional leadership across data, risk, finance, operations, and AI, working directly with your board and executive team to bring the strategy, governance, and controls they expect, without a permanent C-suite hire.
A permanent C-suite hire is slow, costly, and often premature, yet boards need credible data, risk, and AI leadership now, with accountability that withstands regulators and auditors.
The executive roles we step into.
Fractional CDO
Data strategy, governance operating model, metadata & lineage, analytics roadmap.
- Target operating model
- Governance framework
- KPI / analytics roadmap
- Board-ready data-risk view
Fractional CRO: Risk & Controls
Enterprise risk, model/AI risk, controls, and regulatory readiness.
- Risk taxonomy & appetite
- Controls assessment
- Model-risk & AI governance
- Regulatory remediation plan
Fractional CFO
Financial strategy, planning & analytics, capital and performance discipline.
- FP&A & reporting uplift
- Profitability analysis
- Capital / cash strategy
- Board reporting package
Fractional COO
Operating model, process discipline, execution at scale.
- Operating-model design
- Process optimization
- Execution cadence
- Transformation roadmap
AI Advisor: Board & Exec
Responsible-AI strategy, use-case prioritization, guardrails, oversight.
- AI opportunity & risk map
- Governance guardrails
- Build / buy guidance
- Board AI literacy
Assess → Prioritize → Build → Scale
Understand
Data, risk, controls, AI readiness, operating model.
Triage
Urgent regulatory/risk fixes vs. modernization.
Implement
Frameworks, controls, dashboards, improvements.
Sustain
Metrics, ownership, routines that endure.
Built to withstand a boardroom.
Ananeya Abebe, Managing Principal.
Ananeya is an award-winning executive leader and data strategist who turns enterprise complexity into business clarity. He has led data risk and governance programs at major financial institutions, including KeyBank, and was named one of CDO Magazine's Top 40 Under 40 Data Leaders. Today he advises organizations on responsible AI and data modernization, and is a recognized voice on building trust in data and AI. His conviction is simple: the future belongs to organizations that make data discipline second nature, innovating with speed, agility, and trust.
CDMC-certified (EDM Council) · MBA, George Washington University · LinkedIn