Aptean - Manager - Data Foundation

JOB TITLE : Manager, Data Foundation.

REPORTS TO:

Full line: Shreeram Neelavar Bhat.

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GENERAL JOB SUMMARY :

Aptean is seeking a hands-on, results-driven Data Foundation Manager to lead Data Quality, Data Governance, and Data Services across key business domains.

The role will drive identification, quantification, and resolution of data issues through AI-led automation and process improvements, while establishing data governance standards including metadata management and data definitions.

It will also manage user support (SLA-based), data maintenance, and refresh activities. The goal is to ensure trusted, scalable data that enables accurate analytics, insights, and decision-making.

PRINCIPAL DUTIES AND RESPONSIBILITIES :

- Define and implement a comprehensive Data Quality & Governance strategy and operating model across business domains (quote to cash).

- Establish measurable data quality frameworks, KPIs, and health scorecards to track impact on analytics and business insights.

- Proactively identify data quality issues, quantify business impact, and prioritize based on outcome-driven approach.

- Perform root cause analysis (RCA) and drive end-to-end remediation including system and process fixes to prevent recurrence.

- Develop and execute structured remediation plans with clear ownership, timelines, and measurable outcomes.

- Drive automation of data validation, monitoring, and remediation to reduce/eliminate manual data cleansing (leveraging AI, automation, and process enhancements).

- Build and operationalize data governance frameworks including metadata management, data definitions, lineage, and business glossary.

- Provide user support (case management), ensuring timely resolution of data-related issues within defined SLAs.

- Partner with cross-functional stakeholders to identify data gaps, process improvements, and data/AI-driven opportunities.

- Collaborate with cross-functional teams to align on current state, future state, and data management roadmap.

- Lead and manage a team of contractors, ensuring accountability, quality, and scalable delivery.

Work Experience : 7-10 Years.

Knowledge, Skills, Abilities & Competencies :

- 9+ years of experience in Data Quality, Data Governance, or Data Services, with 4+ years in leadership role.

- Strong understanding of Quote-to-Cash (Q2C) processes and associated data flows.

- Proven experience in defining data quality frameworks and driving measurable business outcomes.

- Hands-on experience with Salesforce (Salesforce. com); strong navigation skills and understanding of underlying data structures.

- Experience with Microsoft Fabric / Azure (or similar platforms) to analyze data, identify anomalies, and work with semantic models.

- Familiarity with third-party data enrichment processes and integrations.

- Experience driving automation, AI-led data quality initiatives, and process optimization.

- Strong analytical mindset with ability to connect data issues to business impact and drive outcome-based prioritization.

- Demonstrated problem-solving capability, including issue identification, impact quantification, RCA, and resolution.

- Ability to operate effectively in a fast-paced, ambiguous, and evolving environment.

- Strong stakeholder management, communication, and influencing skills.

- Proven ownership, accountability, and decision-making capability.

- Ability to manage multiple priorities, escalations, and deadlines effectively.

- Flexible, resilient, and adaptable to changing business needs.

Shift Details :

Shift Timing : 1pm to 10pm.

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