Redpoint Best Practices Documentation
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Customer Data Readiness roles and responsibilities

Introduction

A critical component of Redpoint’s Customer Data Readiness Hub implementation methodology is the clear definition of roles and responsibilities to ensure data readiness is achieved and maintained. This page delineates these roles and responsibilities and how they fit into the Customer Data Readiness Hub implementation process.

For more details on the methodology and functional components, refer to Customer Data Readiness Hub methodology and its sub-topics.

Core roles in Customer Data Readiness

Role

Primary focus

Key responsibilities

Typical background

Data governance lead

Strategic oversight of data governance

Develop/enforce policies, ensure compliance, manage access, facilitate audits, educate stakeholders

Data strategy, enterprise architecture

Compliance & security officer

Regulatory compliance and data protection

Oversee privacy/security, enforce/monitor access, respond to breaches, maintain regulatory knowledge

Legal, cybersecurity, risk management

Data owner

Accountability for data assets

Define business requirements, prioritize sources/use cases, validate data, liaise between business/technical teams

Business unit leaders, domain experts

Data steward

Operational data quality and integrity

Ensure accuracy/quality, maintain metadata, manage lifecycle, monitor observability, point of contact for governance

Data analysts, operations, IT

Data consumer

Use data for insights and decisions

Access data, provide feedback, adhere to policies, leverage data for analytics/marketing/operations

Analysts, scientists, execs, marketers

Data architect

Design and manage data infrastructure

Define architecture, select technologies, design models, ensure data is surfaced appropriately

IT professionals, systems designers

Data integration engineer

Enable seamless data flow across systems

Design/implement integrations, ensure data flow, troubleshoot/optimize pipelines, collaborate on requirements

Software engineers, ETL developers

Areas of overlap

Overlapping area

Roles involved

Description

Data quality

Data owner, data steward, data consumer

Owners define standards, stewards enforce, and consumers report issues.

Policy implementation

Governance lead, data steward, compliance officer

Governance sets policies, stewards operationalize, and compliance ensures legality.

Architecture & integration

Data architect, integration engineer

Architects design systems, and engineers implement and maintain connections.

Access & security

Compliance officer, data owner, architect

Compliance enforces controls, owners approve access, and architects secure infrastructure.

Insight generation

Data consumer, steward, architect

Consumers rely on stewards for quality and architects for accessibility.

Functional responsibilities across the data readiness lifecycle

Role

Data quality & accuracy

Metadata & context

Access control

Lifecycle management

Observability

Integration & delivery

Compliance & security

Data steward

Lead

Lead

Support

Lead

Lead

Support

Support

Data governance lead

Support

Support

Lead

Support

Support

Support

Lead

Data integration engineer

Support

Support

Support

Support

Support

Lead

Support

Data architect

Support

Lead

Support

Lead

Support

Lead

Support

Business data owner

Validate

Validate

Validate

Validate

Validate

Validate

Validate

Compliance & security

Support

Support

Lead

Support

Support

Support

Lead

Data consumer

Feedback

Feedback

Adhere

Feedback

Feedback

Feedback

Adhere

Data readiness RACI

(Responsible, Accountable, Consulted, and Informed.)

Task

Governance lead

Compliance officer

Data owner

Data steward

Data consumer

Data architect

Integration engineer

Define governance framework

A

C

C

I

I

C

I

Ensure regulatory compliance

C

A

C

I

I

C

C

Set data quality standards

C

I

A

R

I

I

I

Enforce data standards

I

C

C

A/R

I

I

I

Approve data access

I

C

A

R

I

C

I

Monitor data usage

C

A

C

R

R

I

I

Design data infrastructure

I

C

I

I

I

A

C

Build data integrations

I

C

I

I

I

C

A/R

Use data for decisions

I

I

I

I

A/R

I

I

Data quality and accuracy

C

C

A

R

I

C

C

Metadata and context

C

C

A

R

I

A

C

Access control

A

A

A

C

I

C

C

Lifecycle management

C

C

A

R

I

A

C

Observability

C

C

A

R

I

C

C

Integration and delivery

C

C

A

C

I

R

R

Compliance and security

A

A

A

C

I

R

C

Summary

A successful Customer Data Readiness Hub relies on the coordinated efforts of multiple roles, each with distinct responsibilities. By clearly defining these roles and ensuring accountability, organizations can create a trusted, compliant, and actionable view of customer data, thereby empowering better decision-making, enhancing customer experiences, and supporting organizational growth.