Senior Strategist

4 weeks ago


Geneva, United States Next-Link Full time

This is a remote position.

Consultant Qualifications

Minimum 7 years of experience in Master Data Management with expertise in designing and

implementing MDM and RDM systems from scratch.

Proven track record in developing MDM strategies and governance frameworks for large

organizations.

Strong knowledge of customer data governance data quality frameworks and harmonization

methodologies.

Experience with MDM tools and CRM/ERP systems.

Familiarity with data privacy and compliance requirements.

Excellent communication and stakeholder management skills.

Proficient in communicating in English language.

3. Scope of Work

The Senior Consultant will be responsible for the following tasks:

3.1. Assessment and Requirements Gathering

Conduct a detailed assessment of current data management processes focusing on gaps and

challenges in managing customer data.

Engage with key stakeholders across departments to gather requirements and define the scope

of the new MDM and RDM system.

Document existing pain points such as data duplication inconsistency and lack of data

governance.

3.2. Strategy Development for MDM

Develop a comprehensive strategy for establishing a centralized Master Data Management and

Reference Data Management system.

Define clear objectives for the new MDM/RDM system including the consolidation of customer

records customer name harmonization and creation of golden records.

Establish a roadmap for the design development and implementation of the MDM/RDM

system with timelines milestones and deliverables.

Define clear goals objectives and KPIs for the MDM strategy.


3.3. MDM Governance Framework and Policies

Design a data governance framework that includes roles responsibilities and processes for

maintaining the accuracy and integrity of master data across the organization.

Define policies for managing customer data ensuring compliance with data privacy regulations

and organizational standards.

Develop a governance structure that supports the continuous improvement of data quality and

consistency in the new MDM/RDM system.

3.4. System Architecture and Integration Design

Design the architecture for the new MDM and RDM system ensuring it integrates with existing

enterprise systems (CRM ERP data lakes etc.).

Define data modeling and harmonization rules for creating golden records of customers

including data deduplication standardization and validation processes.

Collaborate with the relevant line of business to ensure that the system is scalable secure and

compliant with relevant data protection regulations and policies.

3.5. Tool Evaluation and Technology Recommendations

Evaluate existing MDM and RDM solutions in the market considering factors such as scalability

ease of integration data governance capabilities and total cost of ownership.

Recommend the most suitable MDM and RDM platforms for the organization and provide a

detailed justification for the selection.

Support the procurement and installation of the recommended tool.

3.6. Implementation and Data Migration Plan

Develop an implementation plan for the new MDM and RDM system including data migration

system configuration and integration with existing platforms.

Oversee the migration of customer data into the new system ensuring proper data cleansing

deduplication and transformation during the process.

Establish procedures for testing validation and user acceptance during the implementation

phase

3.7. Training and Change Management

Develop and execute a change management plan to ensure successful adoption of the new

MDM/RDM system by endusers.

Provide training sessions and workshops for key stakeholders to ensure they understand how to

effectively use the new system.

Ensure proper documentation is created for ongoing maintenance and governance of the new

system.

3.8. Documentation and Reporting

Prepare detailed documentation of the MDM/RDM strategy including architecture governance

framework data management policies and technical specifications.

Provide regular progress reports and updates to the leadership team outlining achievements

challenges and next steps.

Deliverables

The consultant will be responsible for delivering the following:

1. Assessment Report: Comprehensive analysis of the current state of data management including

pain points and requirements for the new MDM/RDM system.

2. MDM and RDM Strategy Document: Detailed strategy outlining the approach to implement the

new system including data governance and golden record creation.

3. USE Case Documentation: Detailed descriptions of relevant USE cases for MDM and RDM.

4. Governance Framework: Policies and procedures for managing customer data and maintaining

the new MDM/RDM system.

5. System Architecture and Integration Plan: Technical design and architecture for integrating the

new MDM system with existing enterprise systems.

6. Tool Evaluation Report: Recommendations for the MDM/RDM platform(s) with a detailed

analysis of the selected tools.

7. Implementation and Migration Plan: A detailed stepbystep guide for migrating data into the

new system testing and validating results.

8. Training Materials and Change Management Plan: Resources for training key stakeholders and

ensuring organizationwide adoption of the new system.

9. Final Report: A comprehensive summary of all work completed including recommendations for

ongoing management and governance of the MDM/RDM system.

Reporting and Governance

The consultant will report to the CDO and will provide regular progress updates. Weekly or biweekly

meetings will ensure alignment with the organization s strategic objectives.




  • Senior Strategist

    1 month ago


    Geneva, United States Next-Link Full time

    This is a remote position.Consultant Qualifications Minimum 7 years of experience in Master Data Management with expertise in designing andimplementing MDM and RDM systems from scratch. Proven track record in developing MDM strategies and governance frameworks for largeorganizations. Strong knowledge of customer data governance data quality frameworks and...