Data and AI leadership that compounds.
Fractional CDO and VP of Data leadership for growth-stage and mid-market companies — the seniority of an enterprise data & AI executive, without the full-time overhead.
Senior leadership, matched to where you actually are.
A full-time data executive is a significant, permanent commitment. Cortivum gives growth-stage companies that same caliber of leadership on a fractional basis.
Cost
A fraction of a full-time executive package — engaged for the scope and time horizon that fits your stage, not a fixed headcount line.
Speed
No executive search cycle. Engagements start with strategy and execution already underway, not a multi-month hiring process.
Seniority
The same caliber of leadership that enterprise organizations rely on — applied directly to your data platform, governance, and AI roadmap.
Services
Six ways to bring senior data and AI leadership into your organization, matched to what you need right now.
Fractional CDO
For companies that need data and AI on the executive agenda
Ownership of data and AI strategy at the leadership level — setting direction, aligning it to business outcomes, and giving executives and the board a trusted view into what the organization actually knows.
A growth-stage company's leadership team disagreed on which metrics mattered. We set a data and AI strategy that aligned the roadmap to the outcomes the whole company could work against.
Data Engineering
For companies whose growth is capped by unreliable data
Modern, scalable data platforms — governed data products, reliable pipelines, and semantic layers built with data quality and observability in mind, so every downstream model and dashboard can be trusted.
A mid-market company's growth was capped by unreliable pipelines. We rebuilt the data platform with quality checks and observability, cutting data incidents and restoring trust in the numbers.
AI Engineering
For companies ready to move AI from pilot to production
Design and delivery of production ML and AI systems — propensity and predictive models, agentic AI, and the responsible AI controls that keep them safe to run at scale.
A subscription business needed to act on churn risk in real time. We productionized propensity and next-best-action models that plugged directly into the retention workflow.
Data Analytics
For companies that can't yet see the full customer picture
Customer 360 and lifecycle analytics that reveal how customers actually behave — powering segmentation, targeting, and the predictive analytics that prioritize the highest-value opportunities.
A retail company couldn't see behavior across channels. We built Customer 360 and lifecycle analytics that showed teams exactly where engagement was dropping off.
BI & Reporting
For companies where answers take too long to reach
Executive dashboards and self-service analytics that put trusted metrics directly in front of leaders and managers — including AI agents that answer questions in plain language.
A growth-stage company had no shared source of truth for company metrics. We introduced executive dashboards and self-service analytics that gave leadership answers in minutes instead of days.
Data & AI Governance
For companies where trust — not tooling — is the blocker
Governance frameworks covering data quality, privacy, security, and responsible AI controls — the foundation that makes intelligence trustworthy enough to act on across the organization.
A fintech company's AI initiatives stalled on data trust and compliance concerns. We put governance, data quality, and responsible AI controls in place, unlocking safe use across the business.
About
Credentials
- Chief Data and AI Officer (CDAIO) Executive Certificate — Carnegie Mellon University
- Machine Learning Certification — Stanford University
- GCP Certified Generative AI Leader
- Master in Computer Application — Jadavpur University, Kolkata
Sunil helps organizations turn data and AI into business outcomes that compound over time — not one-time projects, but repeatable capabilities that improve how the entire organization makes decisions.
The outcomes he has delivered span the full customer lifecycle. He has helped companies identify customers at risk of churn before they leave and operationalize next-best actions that improve retention and engagement. He has built Customer 360 capabilities and lifecycle analytics that help teams understand customer behavior, personalize engagement, and improve the overall experience. He has developed propensity models and predictive analytics that surface high-potential customers, prioritize growth opportunities, and improve conversion. He has reduced customer acquisition cost by improving audience segmentation, targeting, marketing attribution, and campaign measurement.
Alongside this, Sunil has democratized intelligence across organizations — giving executives, senior leaders, and managers access to trusted metrics, self-service analytics, executive dashboards, and AI agents that answer questions in plain language rather than waiting days for an analyst.
None of this is possible without the foundation underneath it.
Sunil builds modern, scalable data platforms with governed data products, reliable pipelines, semantic and context layers, data quality, observability, privacy, security, and responsible AI controls — the infrastructure that makes intelligence trustworthy enough to act on. He leads and develops high-performing data, analytics, governance, and AI teams that sustain these capabilities over time.
The goal is never a deliverable. It is an organization that can make better decisions faster, and scale data and AI safely.
He brings equal credibility in the boardroom and in the architecture review — as comfortable presenting data strategy to a CEO as he is reviewing a data model or a pipeline design. He founded Cortivum to give mid-market and growth-stage companies access to the senior data and AI leadership that drives enterprise-scale outcomes without the full-time executive overhead.
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