Company

DataEngineer

₹12–22L ~AI est. India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“Data Engineer. Skills: Data management, Data governance, Data quality, AI data foundations. Assess data readiness for priority AI use cases. Identify whether required data is available, usable, and”

What You'll Achieve.

Increase confidence in data quality; Enable reliable AI outputs; Improve transparency and reusability across the portfolio; Support AI use cases with compliant and well-controlled data practices; Contribute to stronger long-term data foundations; Give stakeholders better visibility into the health of the data supporting AI delivery

Industry & Context.

Problems you'll solve

Identify data issues; Remediation; Improve data quality

What They're Looking For.

Must Have

Bachelor's degree in Information Systems, Computer Science, Data Management, Business Analytics, Statistics, Engineering, or a related field, 4-7 years of experience in data management, data governance, data quality, business intelligence, analytics support, or related roles, Extensive experience with AI platforms or toolchains, Experience assessing data readiness, Experience documenting data sources and definitions, Experience supporting data quality improvement for business-critical processes, analytics, or technology solutions, Understanding of data quality dimensions, metadata, lineage, ownership, controls, and data management practices, Experience partnering with IT, data owners, and business stakeholders to improve data consistency, accessibility, and governance, Familiarity with the data requirements that underpin AI, machine learning, or advanced analytics solutions, Demonstrated track record of identifying data issues, coordinating remediation, and improving confidence in data, Experience producing clear documentation, status reporting, and management information on data quality, risks, and remediation progress, Understanding of data privacy, access controls, retention requirements, and responsible data handling practices

Nice to Have

Additional training or certification in data management, data governance, data quality, or analytics is preferred, Experience supporting Corporate Affairs, communications, reputation, or other business-facing functions is preferred

What You'll Do.

Assess data readiness for priority AI use cases

Identify whether required data is available

Partner with data owners

Define and document data definitions

Define and document quality requirements

Define and document usage constraints for each initiative

Monitor data quality against agreed standards

Highlight data quality issues early

Support remediation actions that improve accuracy and dependability

Establish and maintain data management practices

Maintain documentation

Maintain control processes that improve transparency and reusability

and ongoing maintenance of datasets

Ensure datasets remain current

Coordinate with relevant teams on data access

Coordinate with relevant teams on data retention

Coordinate with relevant teams on data privacy

Coordinate with relevant teams on data governance requirements

Support AI use cases with compliant and well-controlled

Identify recurring data issues and improvement opportunities across

Contribute to stronger long-term data foundations

Produce clear reporting on data quality status

Produce clear reporting on readiness risks

Produce clear reporting on remediation progress

Give stakeholders better visibility into data health

Contribute to responsible AI governance

Ensure data used in AI solutions is handled

Ensure data used in AI solutions is documented

Ensure data used in AI solutions is aligned

How You'll Work.

Team & Collaboration

Partner with data owners; Partner with IT; Partner with delivery teams; Coordinate with relevant teams

Communication Scope

Clear reporting; Status reporting; Management information

Full Job Description

**Job Description Summary** This role is an opportunity to build the data foundations that make AI useful, trusted, and scalable within Corporate Affairs. The Data Management Analyst will support the quality, structure, accessibility, and governance of data used across the AI portfolio, helping ensure that solutions are powered by data that is accurate, compliant, and fit for purpose. Working closely with the Director, AI Enablement and the Corporate Affairs AI Enablement team, this role will strengthen the data discipline required for AI solutions to perform effectively in production. In this role you will be accountable for improving data readiness and supporting data governance across active AI use cases. Success in the role will be measured by the ability to increase confidence in data quality and enable reliable AI outputs through strong standards, controls, and day-to-day data management practices. **Job Description** **Key Responsibilities** * Assess data readiness for priority AI use cases, helping identify whether the required data is available, usable, and of sufficient quality to support reliable solution performance. * Partner with data owners, IT, and delivery teams to define and document data sources, data definitions, quality requirements, and usage constraints for each initiative. * Monitor data quality against agreed standards and highlight issues early, supporting remediation actions that improve the accuracy and dependability of AI outputs. * Help establish and maintain data management practices such as metadata, lineage, documentation, and control processes that improve transparency and reusability across the portfolio. * Support the preparation, validation, and ongoing maintenance of datasets used in AI solutions, ensuring they remain current, structured, and fit for business use. * Coordinate with relevant teams on data access, retention, privacy, and governance requirements so AI use cases are supported by compliant and well-controlled data pr

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