MDM and Data Quality consultant -Automotive/Manufacturing industry -Bangalore

Position Name: MDM & DQ Consultant

·      Position Mode: Contract; 6 months & extendable 

·      Experience: 4 - 6 Years

·      Joining Location: Bengaluru

·      Work Mode: Hybrid (Bangalore)

·      Mode of Interview: 2 -3 Rounds (F2F if required)

·      Notice: Immediate -15 days (max)

Industry: Manufacturing/ Automotive industry

Required Experience: 4+ years of relevant experience on data quality and master data management, 5-7 years on any data related projects. Automotive/manufacturing experience is must.

Industry Experience: Automotive or Manufacturing

Must have skills:

• Must Have: Data Governance, Data Quality, Data Profiling, Data Steward, Master Data, MDM, Master Data Management, use of LLMs for productivity (prompt engineering, context engineering)
• Nice to have: DataOps, Data Observability, SQL, Python, Azure

Purpose of the role: Assist with end-to-end data quality and governance of Master data domains.

Role Description:

·      Work with different business and IT stakeholders to prioritize the data domains, and applications for data quality and master data management.

·      Assist with gathering and documenting master data management solution requirements.

·      Translate MDM requirements to functional specifications.

·      Understand different data sources being used and the connectors required in the data quality tool.

·      Continuously engage with the business and IT stakeholders in tracking the usage of data quality tool and monitor the progress of fixing the data quality issues.

·      Provide guidance in implementing data quality by design for new web and mobile applications.

·      Critically review current mobile and web applications, find the user interface functions producing poor data quality, provide solution to fix the issues.

·      Build data quality rules for critical data elements and validate them with relevant stakeholders.

·      Train data stewards and other business, IT stakeholders on how to use the data quality tool.

·      Create a standard process to build data quality rules and train stakeholders.

·      Look for automation opportunities and coordinate with required stakeholders to automate different data governance processes (auditing, metrics gathering, etc.)

·      Provide weekly status reports to management regarding the data quality scoring and improvement.

Functional competency:

·      Must have hands-on experience in data profiling, uncovering data quality issues, and building data quality scorecards.

·      Must have strong master data governance conceptual understanding and must have participated in the design and development in 4 projects.

·      Must have manufacturing or automotive experience.

·      Hands-on experience implementing an MDM tool or implementing a custom MDM solution is highly desirable.

·      Hands-on experience in DataOps and implementing Observability is a plus.

·      Hands-on experience in Python and SQL.

·      Hands-on experience in Data Engineering (Azure, AWS, or GCP) is a plus.

·      Must be hands-on.

Behavioral competency:

·      Good verbal and written communication skills.

·      Must be a self-starter and be able to work independently (with very minimal direction from supervisor).

Must be customer-facing with good stakeholder management