Overview
The Data Domain Governance Lead is responsible for embedding robust data governance practices across Agile delivery teams within banking domain. Operating within a SAFe Agile framework, this role ensures that data standards, models, lineage, privacy, and controls are consistently applied across delivery pipelines. The successful candidate will bring deep expertise in data architecture, metadata management, privacy compliance, and data quality, enabling scalable and audit-ready data ecosystems.
Responsibilities
* Embed robust data governance practices across Agile delivery teams within the banking domain, within a SAFe Agile framework, ensuring data standards, models, lineage, privacy, and controls are consistently applied across delivery pipelines.
Required Skills & Experience
* Strong understanding of Treasury and/or Corporate Banking domains, including products, processes, and regulatory requirements.
* Advanced data modelling expertise, including:
o Designing conceptual, logical, and physical models for complex financial domains.
o Applying semantic modelling for BI and analytics.
o Knowledge of normalization, denormalization, and performance optimization.
* Hands-on experience with modelling tools such as ERwin, PowerDesigner, or equivalent.
* Strong background in enterprise data architecture.
* Hands-on experience with metadata and lineage tools such as Collibra, Informatica Enterprise Data Catalog, Alation, Microsoft Purview
* Deep understanding of data privacy regulations and compliance standards and local banking regulations.
* Experience implementing PII classification, data sensitivity labelling, and access controls using tools
* Knowledge of data archival and retention policies relevant to financial records and audit trails.
* Experience defining and implementing automated data quality rules and controls for datasets.
Preferred Qualifications
* Experience implementing industry-standard data governance frameworks such as DAMA-DMBOK, DCAM, and COBIT.
* Experience in large-scale financial institutions or treasury functions.
* Knowledge of data vault modelling and graph modelling for advanced use cases.
* Familiarity with data observability tools and practices to monitor data health, lineage, and reliability across pipelines.
About Us
Ascendion is a global, leading provider of AI-first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys with efficiency and velocity. Guided by our “Engineering to the power of AI” [EngineeringAI] methodology, we integrate AI into software engineering, enterprise operations, and talent orchestration, to address critical challenges of trust, speed, and capital. For more information, please go to www.ascendion.com
With Ascendion (www.ascendion.com), you:
Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also share CV of anyone you know. We have a referral policy in place.
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