Head of Data search
Head of Data Executive Search — Retained Partner-Led Search
Retained, partner-led search for Head of Data executives leading platforms, BI, MDM, and data-governance operations under the CIO or CDO.
Head of Data is a distinct seat from Chief Data Officer. The CDO is a C-suite strategic voice. The Head of Data is the function's operating leader — the one who actually runs the platforms, the BI stack, the MDM program, and the data-governance operations. Confusing the two is the fastest way to hire the wrong person.
We run Head of Data retained searches for US corporate parents, PE-backed portfolio companies, and mid-market organizations that need a credible functional leader under a CIO or CDO — not another strategy voice at the table.
What this search covers
This page covers Head of Data, VP Data, Director of Data & Analytics, and similar function-leader titles reporting to the CIO, CDO, or CTO. Scope typically spans enterprise data platforms, BI and analytics, MDM, data-governance operations, and — depending on the org — data engineering.
Companion pages: Chief Data Officer, CIO, and the broader digital transformation specialization.
Typical Head of Data search assignments
- Analytics-platform leader — Consolidates fragmented BI and warehousing into a modern lakehouse foundation. Calibrated on realized platform builds, not slide decks.
- Data-governance leader — Stands up governance operations, data-quality programs, and stewardship models. Requires operator experience, not certification theater.
- MDM leader — Master data management across customer, product, and finance domains. Calibrated on deployed MDM programs and adoption outcomes.
- AI/ML-adjacent data leader — Owns the data foundation that AI/ML teams consume. Understands feature stores, model-ready pipelines, and ML-ops adjacencies without pretending to be a Chief AI Officer.
- PE-portfolio Head of Data — Modern data foundation stood up in 12-18 months. Calibrated on realized deployments in prior portfolios.
- Multi-BU Head of Data — Coordinates data function across multiple business units with different data maturity. Requires organizational fluency, not just technical depth.
What makes Head of Data search different
Data leader resumes are among the noisiest in technology executive search. Every candidate claims "modern lakehouse," "data-driven culture," and "AI-ready platform." We calibrate on the operating layer underneath — production platform ownership, MDM programs actually deployed and adopted, governance operations that survived audit, and BI portfolios that business partners actually use.
Reference work with peer data leaders — not vendor account teams — is where genuine calibration happens. Our practice invests in that reference network before finalists are presented.
Adjacent capability — organization design
When the Head of Data seat requires organization redesign (consolidating BI, engineering, and governance under one seat; standing up a data CoE) or leadership-team assessment beyond the incoming leader, the executive search engagement is often paired with organization design work under a separate Anker Bioss advisory scope. The two engagements are kept independently governed.
Coverage
US corporate coverage across all major technology and data hubs. Cross-border coverage for US parents whose data function extends into Mexico — see US–Mexico cross-border executive search. Sector coverage spans digital transformation, finance & HR enabling functions, and industrial data. PE-portfolio work is documented at private equity executive search.
City-anchored Mexico coverage for cross-border and Mexico-based data seats: Mexico City, Monterrey, and Guadalajara.
How to engage
Every Head of Data retained search starts with a scoping conversation. We discuss the current-state platform, BI portfolio, MDM posture, governance maturity, reporting line, and the 18-24 month outcomes the executive team expects. If retained partner-led search is the right instrument, we open the market. If it isn't, we say so.
Start a Head of Data search conversation →
Head of Data executive search — frequently asked questions
- How is a Head of Data search different from a CDO search?
- The CDO is a C-suite strategic seat setting enterprise data strategy, governance posture, and monetization. The Head of Data is the function's operating leader — reporting to the CIO or CDO — who runs the analytics platforms, BI, MDM, and data-governance operations. We scope which mandate you actually need before opening the search.
- Who does a Head of Data typically report to?
- Most Head of Data seats report to the CIO, CDO, or occasionally the CTO. Direct reporting to the CEO is uncommon and usually signals a scope mismatch — that scope is a CDO seat, not a Head of Data. We clarify reporting line honestly in scoping.
- What scope typically sits under the Head of Data?
- Common scope includes: enterprise data platforms (warehouse/lakehouse), BI and self-service analytics, master data management (MDM), data-governance operations, and — in some organizations — the data engineering team. Exact scope varies; we calibrate on your org.
- How do you calibrate on data-platform depth?
- Candidates are calibrated on realized platform ownership — modern lakehouse (Databricks, Snowflake), governance tooling (Collibra, Alation), MDM (Informatica, Reltio) — measured by production outcomes, not vendor tourism or POC theater. Reference work with peer data leaders is where genuine calibration happens.
- Do you handle Head of Data searches for PE-portfolio companies?
- Yes. PE sponsors often need a Head of Data who can stand up a modern data foundation quickly — consolidated warehouse, MDM, KPI reporting — inside the first 12-18 months. Calibrated on realized deployments in prior portfolios, not aspirational roadmaps.
- Is a Head of Data the same as a VP Analytics or VP BI?
- Overlapping but not identical. VP Analytics is usually narrower — insights, dashboards, and analytical products. Head of Data typically includes the platform and data-governance layers underneath. We clarify which title matches your actual scope during discovery.
- How long does a Head of Data search usually take?
- Typical retained Head of Data searches take 10-14 weeks from kickoff to signed offer. Complex scope covering platform, governance, and MDM can extend to 16 weeks. Realistic timeline is shared in scoping, not a marketing number.
- Can this practice do the search on a contingent basis?
- No. This is a retained partner-led practice. Contingent search does not produce the calibration depth Head of Data seats require. If retained is not the right fit for your budget or timing, we will say so early.
Why work with this executive search practice
- Why work with this executive search practice instead of a global brand?
- Because every search is led personally by a senior consultant from mandate calibration through offer — no junior handoff, no rotating account team. Delivered through Alder Koten, the same person who takes the brief is the person who calls the candidates, sits in the assessment, and closes the offer. That continuity is the single largest structural difference between this practice and a global brand where seniors sell and juniors execute.
- What makes your work in Mexico structurally different from a US firm running searches into Mexico?
- Mexico is not a single market — it is five distinct executive corridors (CDMX, Monterrey, Guadalajara, the Bajío, and the northern border), each with its own industries, family-enterprise dynamics, regulatory reality, and reference networks. We work from inside each corridor with senior consultants who have built local reference networks over 20+ years. A US-based team parachuting into a Mexican search cannot replicate that access.
- How does bilingual and bicultural fluency actually change the outcome of a search?
- At the VP and C-suite level, bilingual is a floor — every serious candidate speaks English. What differentiates the search is bicultural fluency: reading Mexican family-enterprise governance dynamics, calibrating a candidate against the realities of operating under Mexican labor and regulatory law, and translating between a headquarters that thinks in one governance convention and a local operation that runs on another. Cultural mistranslation is one of the most common causes of an eighteen-month mis-hire at this level.
- What is different about your assessment methodology?
- Candidates are evaluated against the design of the work — not against the resume. This is The Kohmes Method, delivered through Anker Bioss as Dynamic Fit™. It calibrates a candidate against the specific organizational reality of the seat — governance structure, decision rights, adjacent leadership, and the parent↔local tension the role carries — rather than against a generic competency model. Most search firms stop at resume + reference. We stop at fit-to-seat.
- Do you cover cross-border US–Mexico search as a native capability?
- Yes. The practice is headquartered in Houston with offices in Mexico City, Monterrey, and Guadalajara. Cross-border US–Mexico placements — repatriations, US corporate expats moving into Mexican operations, Mexican executives moving into US roles — are a core specialty, not an occasional exception. See US–Mexico cross-border executive search →.
- What global reach do you have beyond Mexico and the US?
- Through membership in IMD International Search Group, we access a coordinated network of independent retained-search firms across 40+ countries. That gives clients Global-Fortune-500-caliber reach for cross-border mandates while keeping every Mexican search rooted in local senior consulting — the reach of a global network with the accountability of a boutique.
- Retained or contingent — and why does the model matter?
- Retained, exclusive, and confidential. VP and C-suite candidates in Mexico are almost always sitting executives at competitors, multinational subsidiaries, or family groups — approached wrong, they will not take the call. Retained search is the only structurally reliable way to run confidential outreach at that level. Contingent models create structural incentives that misalign search quality with search speed, and they consistently underperform on the seats that matter most.