Lead execution of operational risk management program within corporate services for Transamerica. Collaborate with teams to identify and assess key risks across the business and technology landscape.
About the role
- Senior leader defining and executing the data strategy in Synchrony’s complaints data ecosystem. Driving governance reporting and analytics for effective issue management.
Responsibilities
- Define & execute the Enterprise Complaints Data Strategy: Establish the target-state vision, operating model, standards, and procedures; drive a multi-quarter roadmap across complaint platforms and intake channels.
- Architect the complaints data ecosystem: Design and implement scalable data architectures, data models, and domain-aligned data products that power analytics, governance reporting, and issue management.
- Assess and onboard new data sources: Build and execute repeatable approaches to evaluate new data sources (quality, completeness, lineage, controls), and recommend/implement optimal remediation paths to address data quality gaps.
- Ensure alignment to Enterprise Data Policy & Standards: Own and maintain Collibra assets (business definitions, lineage, retention, access controls), steward data dictionaries, and lead intake/resolution of data issues and incidents as the complaints data domain steward.
- Establish and run data quality controls & monitoring: Define data quality metrics, execute periodic data quality audits, and develop/maintain Tableau control and data operations dashboards to monitor health, surface emerging issues, and track KPIs across the complaints data environment.
- Drive cross-functional delivery and adoption: Partner across Enterprise Complaints and with Enterprise Data Lake, Technology, Data Office, Operations, and Governance leaders to prioritize initiatives, align dependencies, and ensure solutions are adopted and sustained.
- Enable advanced analytics and innovation: Deliver curated/aggregated datasets that support advanced analytics use cases including trend detection, anomaly detection, and thematic risk identification.
- Lead projects and mentor less experienced staff members, and perform special projects as assigned in support of enterprise complaint program maturity, platform modernization, and regulatory commitments.
Requirements
- 6+ years' experience spanning data engineering, data architecture, and data governance/controls, ideally in a regulated environment (financial services preferred)
- Demonstrated ownership of data strategy and architecture for a business-critical domain (end-to-end from source to curated layers to consumption)
- 4+years Hands-on Data Engineering experience building scalable pipelines and curated datasets using Pypark/ScalaSpark/SAS
- Demonstrated experience with design and conduct complex analysis on large structured, unstructured data to identify and remediate data quality or integrity issues
- Experience with automating and consolidating data from multiple reporting channels ensuring sound data quality controls and checks.
- Strong project management, communications, multi-tasking, ability to work independently, relationship management skills are keys to success.
Benefits
- Flexible working hours
- Career advancement opportunities
- Best-in-class employee benefits and programs
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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