Job Summary

We are seeking a skilled Senior Digital Product Owner (Senior Data Quality Analyst) - GFS Strategy - Global Finance Services Division.

The incumbent would lead data quality initiatives for finance platforms by designing and operationalizing DQ rules, pipelines and remediation processes. Partner with stakeholders to ensure trusted, governed data for analytics and financial reporting.

The preference for this role is to be based out of Bangalore-Shared Services.

What you will do

- Lead business and IT discussions for DQ solution development, enhancements and support
- Accountable and responsible for overall data accuracy and completeness for priority data elements
- Champion data governance framework and support data cataloging and glossary efforts
- Good with documentation and creating process maps - for example - technical design documents, Requirement Docs, BRDs, Project Plan, Status Decks, etc.
- Good requirement-gathering skills and experience as a technical business analyst.
- Design, build and operate end-to-end data quality pipelines and validations to support reconciliation and data quality for finance datasets.
- Author, implement and monitor data quality rules and expectations
- Build and maintain data pipelines using Snowflake/Snowpark and/or AWS Glue (Crawlers, Jobs, Workflows, Glue Data Quality).
- Integrate Glue workflows with Apache Airflow for orchestration; develop Lambda functions for processing and orchestration tasks.
- Design and develop API integrations connecting AWS/Snowflake/Web UI etc. to support data quality solution
- Drive DQ remediation with data owners and stewards: automate fixes where safe, escalate and manage manual remediation
- Capture metadata, lineage and access controls; collaborate with governance and security teams.
- Produce technical documentation, requirement specs and DQ dashboards; mentor junior analysts.

What you will have

- 8 + years experience in data management, data quality/governance or related roles.
- Solid hands-on experience with SQL and Python.
- Experience with Snowflake and/or AWS data stack (AWS Glue, Glue Data Catalog, Lambda, Athena).
- Proven experience authoring and operationalizing DQ rules and remediation processes.
- Strong stakeholder engagement, requirements-gathering and documentation skills.




- Bachelor's degree or equivalent practical experience.
- This position requires candidate to work a 5-day-a-week schedule in the office.

Preferred Qualifications:

- Experience integrating Glue workflows with Apache Airflow.
- Experience with Alation or other data catalog tools.
- Certifications: AWS (Data Analytics or Solutions Architect), DAMA/DMBOK, or DQ certification.
- Experience with building dashboards or WebUI to support DQ dashboards
- Proficient in AI tools like Co-Pilot, GitHub Copilot, VS Code, Snowflake Cortex etc.

Core Skills & Competencies:

- Data profiling, cleansing, enrichment and DQ frameworks
- Pipeline orchestration and automation
- Troubleshooting, logging and observability best practices (CloudWatch, monitoring tools)
- Version control (Git) and collaboration tools (Jira)
- Strong analytical, communication and stakeholder management skills

Skills desired

- Business Analysis: Knowledge of business analysis and the set of tasks, techniques and tools required to identify business needs; ability to recommend solutions that deliver value to stakeholders. Level Working Knowledge: Analyzes the value of a business and its functions through the value estimation of assets. Applies the prerequisites to a project before starting the business analysis process. Collaborates with stakeholders, development teams, testing teams, etc., to deliver business solutions. Documents the business case to justify the requirements of time and resources of a project. Utilizes diverse analysis tools and methodologies to group different business activities based on shared characteristics or similarities.
- Decision Making and Critical Thinking: Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment. Level Extensive Experience: Differentiates assumptions, perspectives,



and historical frameworks. Evaluates past decisions for insights to improve decision-making process. Assesses and validates decision options and points and predicts their potential impact. Advises others in analyzing and synthesizing relevant data and assessing alternatives. Uses effective decision-making approaches such as consultative, command, or consensus. Ensures that assumptions and received wisdom are objectively analyzed in decisions.
- Effective Communications: Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors. Level Extensive Experience: Reviews others writing or presentations and provides feedback and coaching. Adapts documents and presentations for the intended audience. Demonstrates both empathy and assertiveness when communicating a need or defending a position. Communicates well downward, upward, and outward. Employs appropriate methods of persuasion when soliciting agreement. Maintains focus on the topic at hand.
- Software Change Request Management: Knowledge of software change request management; ability to manage software product change requests from customers, prospective customers, vendors, and internal staff. Level Extensive Experience: Describes methods for estimating costs for request fulfillment. Defines responses for non-standard or unsupported change requests. Contributes to the design and development of request process flow and templates. Clarifies description, components affected, need, cost estimate, risk, resources, status. Manages all aspects of the change request process. Researches new tools and techniques for monitoring product efficacy.
- Software Engineering: Knowledge of software engineering; ability to deliver new or enhanced software products. Level Working Knowledge: Identifies considerations for product integration with multiple platforms and systems.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Digital Product Owner (Senior Data Quality Analyst ) (Bengaluru)
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