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?

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

📌 Data Intelligence Manager (India)
🏢 Crypto Mize
📍 India