Job Description :

Job Title: Cyber Risk Analytics & Data Intelligence Lead

Level: 5A

Location: Bengaluru, India

Reporting To: Global Head of Cyber Strategy

About us: With over 200 brands sold in nearly 180 countries, we're the world's leading premium drinks company. Bring your passion and use your curiosity as you explore, collaborate, and innovate to build brands consumers love. Together with hardworking people from all over the world, you'll test new insights, learn and grow, and unlock a brighter, more exciting future.

Join us to create a career worth celebrating.

About the Function:

Our Digital and Technology (D&T) team are innovators, delivering ground-breaking solutions that will help shape the future of our iconic brands. Technology touches every part of our business, from the sourcing of sustainable ingredients to marketing and development of our online platforms. We utilise data insights to build competitive advantage, supporting our people to deliver value faster.

Our D&T team includes some of the most dedicated digital professionals in the industry. Every day, we come together to push boundaries and innovate, shaping the digital solutions of tomorrow. Whatever your passion, we'll help you become the best you can be, creating career-defining work and delivering breakthrough thinking.

Job Purpose

This role is the analytics engine for Enterprise Cyber Risk, responsible for redefining fragmented cyber risk data into a single source of truth, automated intelligence, and executive-ready insights. Define and institutionalize enterprise cyber risk metrics, scoring logic, and analytical standards.

The position is primarily analytics and automation driven (70%), passionate about:

Enterprise risk data modeling
Power BI dashboard architecture
Risk intelligence & pattern analysis
Reporting automation
Predictive and forward-looking indicators

Cyber risk domain knowledge (30%) ensures outputs align to NIST/ISO and enterprise risk governance.

This is not a traditional GRC operations role. This role does not own policy management, audit execution, or control operations. This is a data-driven risk intelligence role. Success in this role will be measured by measurable reduction in manual reporting, improved data reliability, and enhanced executive risk decision-making maturity.

Ideal Candidate Profile

You are a data-driven problem solver who thrives in sophisticated environments, enjoys building scalable analytics frameworks from fragmented data sources, and can translate technical risk data into executive-level insight.

Core Responsibilities

Enterprise Risk Data & Analytics (Main Focus)

Build & own the enterprise cyber risk data architecture layer

Build executive-level Power BI dashboards enabling:
- Risk exposure trends (3/6/12 months)
- Risk concentration & clustering
- Risk aging & SLA breach analysis
- Risk churn (new vs closed vs reopened)
- Residual risk movement
Develop sophisticated DAX measures for:
- Risk aging
- Control efficiency scoring
- Risk drivers contribution
- Tolerance breaches
Build automated risk exposure scoring frameworks

Automation & Data Integration

Build a fully automated, scalable risk intelligence reporting ecosystem
Integrate 2-3 core data sources within first 30-90 days:
- GRC platform
- Vulnerability management tools
- Incident metrics
Define standardized risk metrics and calculation logic
Improve data quality (redundancy, missing values, latency)
Implement automated refresh & validation checks

Risk Intelligence & Analytics

Move the organization from descriptive reporting to diagnostic and predictive risk intelligence. Develop intelligence beyond static reporting for listed topics:

Risk concentration analysis
Repeat risk pattern detection
Control failure rate analytics
Threat to Risk mapping
Near-miss analysis
Cloud risk posture scoring
Shadow IT exposure indicators
Leading indicators for risk critical issue
Early warning signals for control decay

Executive Risk Storytelling

Elevate cyber discussions from technical metrics to business risk impact
Identify where risk exceeds tolerance
Provide single-page leadership views
Demonstrate measurable risk reduction over time
Present insights in leadership forums

Cyber Risk Governance Alignment (Supporting 30%)

Map analytics to NIST CSF / ISO 27001
Provide analytics support to risk governance forums and audit reviews
Ensure traceability: risk ? control ? remediation
Supervise remediation progress & residual risk movement

Required Experience & Skills

Experience

5-10 years in Data Analytics, Enterprise BI, Risk Analytics, or Operational Intelligence roles
Experience building executive dashboards in sophisticated enterprises
Experience in automation & data integration
Ability to quickly understand cyber risk concepts, deep cyber technical expertise is not required.
Experience with enterprise data platforms preferred.
Experience working with APIs and automating data ingestion pipelines.

Required Skills

Sophisticated Power BI (data modeling + DAX required)
Strong data modeling & benchmark architecture
Automation & Data Engineering demeanor
Experience integrating multiple enterprise systems
Experience working with structured and semi-structured data
Understanding of data governance and metadata management
Strong analytical reasoning, ability to identify patterns, correlations, and leading indicators

Nice to Have

Understanding of NIST / ISO
Exposure to GRC platforms
Cyber risk committee experience
Certifications (CISSP or similar)

Tools & Technology Environment

Familiarity working within enterprise environments that include:

Power BI (Primary visualization platform)
Enterprise GRC platform
Vulnerability management platforms
Incident management systems
Cloud security tooling
SQL-based data environments

Worker Type :

Regular

Primary Location:

Bangalore Karle Town SEZ

Additional Locations :

Job Posting Start Date :

2026-01-06

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