Data Management Consultant

Key responsibilities may include:

Data Assessment and Analysis:

Evaluating current data management processes, identifying data quality issues, data silos,

and inefficiencies to understand the organizations data landscape.

Data Strategy Development:

Designing comprehensive data management strategies aligned with business objectives,

including data governance policies, data quality standards, and data retention guidelines.

Data Architecture Design:

Defining data architecture, selecting appropriate data storage solutions (data warehouses,

data lakes), and implementing data integration processes.

Data Governance Implementation:

Establishing data governance frameworks, defining data ownership, access controls, and

data quality monitoring processes.

Data Cleansing and Standardization:

Implementing data cleansing techniques to improve data accuracy and consistency across

systems.

Data Modeling:

Creating logical and physical data models to structure and organize data effectively.

Technology Selection:

Evaluating and recommending data management tools and platforms based on business

needs.

Implementation and Training:

Overseeing the implementation of data management solutions and providing training to

users on data management practices.

Reporting and Analytics:

Developing data dashboards and reports to provide actionable insights for business

decision-making.

Stakeholder Management:

Collaborating with cross-functional teams to gather requirements, communicate data

management initiatives, and address data-related concerns.

Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest.

Req. VR-110929