Manager Data Foundation

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.

·       Job (# of positions):

·       Job (# of positions):

• →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.

 ☒              ☐                   Bachelor’s degree

 ☐              ☒                   Master’s degree

 ☐              ☐                   Ph.D.

 ☐              ☐                   J.D. (law)

 ☐              ☐                   Certification:

 ☐              ☐                   Registration:

 ☐              ☐                   Licensure:

 ☐              ☐                   Other:

7-10 Year’s

• 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.