Data Lead / Business Consultant (Framing)

Capgemini; Bengaluru; Hybride; INR 2 500 000 - 4 000 000; Plein temps

Résumé du poste

Capgemini Bengaluru is seeking a Data Lead / Business Consultant (Framing) to drive problem framing and use-case definitions for a Cognite Data Fusion program. You will bridge business stakeholders with technical teams, shape data-driven opportunities, and lead analytics roadmaps across PLM, MES, ERP and IT ecosystems.

You will collaborate with data engineers and architects, define success metrics, and ensure scalable, value-driven outcomes across manufacturing and energy domains in a

Qualifications

• Experience in problem framing or consulting within data/analytics programs.
• Understanding of PLM, MES, ERP and IoT ecosystems in industrial settings.
• Knowledge of data pipelines, databases, data lakes, and integrations.
• Hands-on SQL and basic data analysis exposure.
• Experience working with cross-functional teams (business + technology).
• Strong structured problem-solving and analytical thinking.
• Proven ability in stakeholder management and workshop facilitation.
• Excellent communication and presentation skills.

Responsabilités

• Lead problem framing workshops converting business challenges into data-driven statements.
• Identify and define high-value analytics and digital use cases aligned with business objectives.
• Translate business requirements into data, analytics and technical specifications.
• Bridge business stakeholders and engineering teams for alignment.
• Facilitate cross-functional discussions across engineering, manufacturing, operations, IT.
• Develop and manage a use-case and analytics roadmap aligned to priorities.
• Define KPIs, success metrics and value realization frameworks.
• Drive digital continuity initiatives across PLM, MES, ERP, and operational systems.
• Identify and resolve data gaps and integration challenges across the data lifecycle.
• Define data models, data standards, and system interfaces.
• Ensure reuse and scalability of solutions across multiple use cases and units.
• Provide inputs to solution architecture aligned with Cognite Data Fusion (CDF).
• Collaborate with data engineers and architects for feasible implementations.
• Drive business adoption and change management for data and analytics solutions.

Connaissances

Problem framing

Industrial systems

Data ecosystems

SQL basics

Stakeholder management

Analytical thinking

Workshop facilitation

Communication

Outils

CDF (Cognite Data Fusion)

Power BI

Tableau

Azure

Description du poste

Role & responsibilities

Position :: Data Lead / Business Consultant (Framing)

Location : Bangalore

EXPERIENCE : 9 to 14 Years

About the Role

We are hiring a Data Lead / Business Consultant, Lead Analyst (Framing) to support a strategic Cognite Data Fusion (CDF) program, a global energy leader.

This role focuses on problem framing, use-case definition, and digital continuity, acting as a bridge between business stakeholders and technical teams. You will play a key role in identifying high-value opportunities, structuring ambiguous problems into data-driven solutions, and ensuring that data and analytics initiatives deliver measurable business impact.

This is a high-visibility role within a large-scale industrial digital transformation program, requiring a blend of engineering domain knowledge, data understanding, and consulting mindset.

Key Responsibilities

• Lead problem framing workshops to convert ambiguous business challenges into structured, data-driven problem statements
• Identify, prioritize, and define high-value analytics, AI, and digital use cases aligned with business objectives
• Translate business requirements into clear data, analytics, and functional specifications for technical teams
• Act as a bridge between business stakeholders and engineering teams, ensuring alignment and clarity
• Facilitate cross-functional stakeholder discussions across engineering, manufacturing, operations, and IT
• Develop and manage a use-case and analytics roadmap, aligned to strategic priorities
• Define KPIs, success metrics, and value realization frameworks for all initiatives
• Drive digital continuity initiatives, ensuring seamless data flow across PLM, MES, ERP, and operational systems
• Identify and resolve data gaps, inconsistencies, and integration challenges across the data lifecycle
• Support definition of data models, data standards, and system interfaces
• Ensure reuse and scalability of solutions across multiple use cases and business units
• Provide inputs to solution architecture and ensure alignment with platforms like Cognite Data Fusion (CDF)
• Collaborate with data engineers and architects to ensure feasible and scalable implementation
• Drive business adoption and change management for data and analytics solutions

Mandatory Skillsets

• Strong experience in problem framing, business analysis, or consulting roles within data/analytics programs
• Good understanding of industrial systems: PLM, MES, ERP, IoT ecosystems
• Knowledge of data ecosystems: data pipelines, databases, data lakes, and integrations
• Hands-on exposure to SQL and basic data analysis
• Experience working with cross-functional teams (business + technology)
• Strong structured problem-solving and analytical thinking
• Proven ability in stakeholder management and workshop facilitation
• Excellent communication and presentation skills

Preferred Skillsets

• Experience in Oil & Gas, Energy, or Manufacturing domain
• Familiarity with Cognite Data Fusion (CDF) or industrial data platforms
• Exposure to analytics, AI/ML, or optimization use cases
• Understanding of digital twin and digital thread concepts
• Experience with BI tools (Power BI, Tableau, etc.)
• Exposure to cloud platforms (Azure, AWS, Snowflake)
• Prior experience in management consulting or strategic programs
• Ability to link technical initiatives to business ROI and value realization

Key Skills:

• Data framing
• Business Analysis (BA) with Data Engineering exposure
• Strong experience in:
  • Problem framing
  • Business analysis
  • Consulting roles within data and analytics programs