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Data Product Manager

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Onsite

Data Product Manager

HCLTech

Data Product Manager

Skills

Product ManagementData AnalysisAIConfluenceCRMSAP SuccessFactorsProduct ManagerAzure

9 days ago

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Important information


Location:

Sweden

Work mode:

Onsite

Published on:

15 October 2026

What they need


Job Summary

Description:

Data Manager – Graph Intelligence & Customer 360 Platform

Position Summary

The Graph Intelligence Platform (GDBC) team is seeking a Data Manager to help define and shape the next generation of enterprise-wide Customer 360 and Graph Intelligence capabilities.

The platform is evolving beyond a single business-area solution into a cross-enterprise capability that connects data across multiple Business Areas (MT, VT, VFS, VCE, RT), brands, regions, account structures, assets, products, contracts, services, finance, and customer interactions. This evolution supports the broader One Customer One Account (OCOA) vision of delivering a unified and connected view of customers across Volvo Group.

The Data Manager will serve as the primary bridge between business stakeholders and the Graph Intelligence Platform team, helping identify, define, and prioritize high-value use cases that leverage connected enterprise data.

Key Responsibilities

Business Use Case Discovery

Engage stakeholders across multiple business areas to identify and document Customer 360, Key Account, Cross-BA, and Graph Intelligence use cases.

Facilitate workshops to uncover business problems, opportunities, and decision-making needs.

Translate business goals into structured use case definitions and requirements.

Document user personas, workflows, KPIs, success criteria, and business outcomes.

Requirements Gathering

Lead requirements gathering sessions with stakeholders, subject matter experts, and product owners.

Capture functional and non-functional requirements.

Define business processes, user journeys, and data requirements.

Create use case documentation, process flows, and business requirement artifacts.

Key Responsibilities

Customer 360 & Graph Intelligence Analysis

Analyze how customer, account, fleet, contract, finance, service, parts, and organizational data interact across Volvo Group.

Identify opportunities where connected graph data can create business value.

Help define business metrics, KPIs, intelligence signals, and reusable insight definitions.

Support development of Customer 360, Key Account, Loyalty, Share-of-Wallet, Cross-Sell, and Risk-oriented use cases.

Stakeholder Management

Build relationships with business stakeholders across:

Mack Trucks (MT)

Volvo Trucks (VT)

Volvo Financial Services (VFS)

Volvo Construction Equipment (VCE)

Renault Trucks (RT)

Facilitate alignment between business teams, architecture, engineering, and product management.

Manage feedback loops during design, development, UAT, and rollout phases.

Strategic Planning & Prioritization

Help evaluate use-case opportunities based on:

Business value

Data availability

User adoption potential

Technical feasibility

Strategic alignment

Support roadmap planning and MVP definition activities.

Assist in building business cases and value hypotheses for future investments.

Desired Experience

Required

Senior or Principal level Data Manager

Experience working with enterprise applications, analytics platforms, customer data, or CRM-related solutions

Strong workshop facilitation and stakeholder engagement skills

Experience gathering and documenting business requirements

Ability to communicate effectively with both business and technical teams

Experience creating:

User stories

Process flows

Business requirements documents

Functional specifications

Preferred

Customer 360 experience

Key Account Management process knowledge

Knowledge of customer master data and account hierarchies

Experience working with data platforms, analytics, or reporting solutions

Familiarity with graph databases, knowledge graphs, or relationship-centric data models

Experience with data remediation strategies

Experience with Azure DevOps, Confluence, or enterprise product delivery frameworks

Adoption of and experience with AI for workplace efficiency.

Key Success Measures

The Data Manager will be successful when they:

Build strong stakeholder engagement across business areas

Capture high-quality, actionable requirements

Help identify high-value Graph Intelligence use cases

Improve the speed and quality of business-to-technology alignment

Enable successful delivery of Customer 360 and Graph Intelligence capabilities

Contribute to the creation of a reusable, enterprise-wide Graph Intelligence Platform

Why This Role Matters

The Graph Intelligence Platform is becoming a foundational enterprise capability that connects customer, account, vehicle, contract, finance, service, and organizational data into a unified graph. The Business Analyst will play a critical role in ensuring that business needs are accurately captured and translated into capabilities that drive commercial growth, operational efficiency, customer retention, and cross-business-area

Skill Requirements

Must Have Skill

Azure DevOps,Stakeholder Management,Data Management Platforms

Good to Have Skill

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