Data Intelligence Manager jobs in Delhi at CryptoMize are open on a rolling, always-hiring basis — the data cell ships decision-grade work only when someone accountable runs it, and this role is that someone. This is a full-time, permanent leadership position with immediate joining, based at our New Delhi HQ, managing the analysts and specialists who turn platform corpora into client insight across all five domains. The manager owns the cell’s output, its people and its standards — and answers for every number the agency puts in front of a client. Below is the complete job description — responsibilities, requirements, the seniority path, and the selection process.
LOCATION New Delhi (HQ)
EMPLOYMENT Full-time · Permanent
AVAILABILITY Immediate · Rolling intake
COMPENSATION Discussed at screening
TRACKS ON THIS DESK26
CRAFT SKILLS NAMED11
TOOLS & SYSTEMS5
PATH STAGES4
01
01The actual work
What will you actually do as a Data Intelligence Manager at CryptoMize?
01
Run the data intelligence cell — staffing engagements, setting analytical standards, and carrying final accountability for insight quality agency-wide
02
Own the cell’s delivery calendar: which engagements get analytical capacity this month, and what gets defended when two clients need the same bench
03
Review and sign off on client-facing analytical products before they ship — the last gate between a confident wrong number and the client
04
Grow the analysts: hiring, mentoring and the promotion cases that decide who becomes the next senior bench
05
Comprehend and interpret the most complex client documents — the briefs, contracts and board papers engagements are actually governed by
06
Respond effectively to the most sensitive issues: the retracted dataset, the challenged finding, the engagement in trouble
07
Set the tooling and methodology agenda — what the cell standardizes on, and what it experiments with next quarter
ROLE RESPONSIBILITIES
As a Data Intelligence Manager at CryptoMize you will manage the team responsible for converting gathered data into client intelligence — supervising, planning and coordinating the research and evaluation activities of the cell, and standing behind every deliverable it ships. The role comprehends the most complex business documents, responds to the most sensitive issues, and writes the reports and briefs that carry the agency’s voice.
Standards are a standing duty: most organizations discover leadership gaps when a deliverable fails publicly, but here the manager intercepts them upstream — in the review gate, the staffing call and the mentoring plan. You will maintain the cell’s method base so any deliverable can be re-run and defended line by line, on demand, in front of a client.
Managers also carry institutional responsibility for the bench itself: forecasting and preparing budgets, calculating the resource plan, and solving the advanced problems of a growing, multi-industry practice. The managers whose benches outgrow them are the ones promoted first.
02
02Capability profile
What skills and tools does a Data Intelligence Manager need?
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Craft skills11 Tools & systems5 Offer standards4
Expert-level analytical and quantitative judgment with proven experience developing strategic solutionsPeople leadership of technical analysts — hiring, coaching, and honest performance casesAdvanced problem-solving across complex, ambiguous situations with multiple viable optionsBudget forecasting and resource planning for the cell’s capacityFinancial literacy sufficient to read client P&Ls and engagement economicsClient-facing authority — presenting and defending the cell’s work at principal levelWriting quality control — reports and briefs that carry the house voiceMethodology stewardship — keeping the analytical standard uniform across analystsCalm judgment on sensitive issues under engagement pressureCross-cell collaboration with platforms, strategy and security leadershipDiscretion with NDA-grade client material (non-negotiable)
PostgreSQL and the analytics stack the cell runs onPython-based analytical workflows (pandas, statsmodels)Metabase / Grafana dashboard standardsResource and capacity planning sheetsGit-reviewed analytical repositories
Depth of demonstrated skill in the specific role disciplineClassification and scope of the client engagement the role supportsUrgency and time-sensitivity of active project requirementsTrack record built across CryptoMize engagements
Also known as: data intelligence manager jobs · analytics manager vacancy · data manager openings · head of data intelligence
03
03Seniority ladder
Data Intelligence Manager — seniority path at CryptoMize
Managers advance by the performance of the cell they build, not tenure. The ladder below is the actual leadership structure above and around this seat.
Data Intelligence Manager
Runs the cell — analysts, standards and delivery across every engagement the data intelligence bench serves.
1/4
Senior Manager, Intelligence
Carries the data cell plus one adjacent bench — methodology alignment, shared staffing, and escalation authority across domains.
2/4
Director of Intelligence
Owns the intelligence discipline agency-wide — how CryptoMize analyzes, what it guarantees clients, and who leads each cell.
3/4
Practice Principal track
The senior route: managers who become client-facing principals, owning flagship engagements end-to-end with the cells reporting through them.
4/4
04
04The engagement surface
CryptoMize work a Data Intelligence Manager touches
Every role plugs into live engagements across the five Penta-P domains — these are the services your work feeds.
Data Intelligence Manager · Job Opening
This seat plugs into 6 live CryptoMize services across the five Penta-P domains — the work below is where yours lands.
6 SERVICESPENTA-P
Big Data Mining
Predictive Intelligence
Strategic Intelligence
Consultancy
Political Analysis
Trend Analysis
WHAT DOES DATA INTELLIGENCE MANAGER COMPENSATION DEPEND ON?
Compensation is discussed during screening — never a fixed public figure, because it varies per person and per engagement. It depends on:
# OFFER CONSTRUCTION FACTOR
01 Depth of demonstrated skill in the specific role discipline
02 Classification and scope of the client engagement the role supports
03 Urgency and time-sensitivity of active project requirements
04 Track record built across CryptoMize engagements
