Role Summary
We are seeking an experienced
Programme Lead
to lead a large-scale transformation program involving the migration of
SAS-based data platforms, ETL processes, reporting solutions, and analytical
workloads to
Google Cloud Platform (GCP)
using
DBT
. The role requires strong leadership, data engineering expertise,
stakeholder management skills, and hands-on experience in cloud-based data
modernization initiatives.
The candidate will be responsible for end-to-end delivery, technical
governance, migration strategy, architectural oversight, and successful
execution of multiple workstreams across business and technology teams.
Key Responsibilities
Program Delivery
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Lead end-to-end delivery of SAS to GCP migration programs.
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Define migration roadmap, delivery approach, and execution strategy.
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Manage scope, schedule, budget, risks, dependencies, and resource
allocation.
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Ensure timely delivery of migration milestones and business objectives.
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Drive Agile delivery and release management processes.
Technical Leadership
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Provide technical direction for migration from SAS datasets, SAS ETL, SAS
macros, and reporting solutions.
-
Review and approve solution architectures, data models, and transformation
designs.
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Establish migration standards, coding standards, and best practices.
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Guide teams on cloud-native architecture and modernization opportunities.
Data Engineering Oversight
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Oversee development of data pipelines using GCP services and DBT.
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Ensure scalable, secure, and high-performing data solutions.
-
Lead design reviews for data ingestion, transformation, orchestration, and
reporting layers.
-
Drive implementation of data quality, lineage, and reconciliation
frameworks.
Stakeholder Management
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Act as the primary technical point of contact for business and technology
stakeholders.
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Collaborate with architecture, regulatory, risk, compliance, and
operational teams.
-
Present project status, risks, and technical recommendations to senior
leadership.
-
Manage vendor and third-party engagements.
Governance & Compliance
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Ensure compliance with banking regulatory requirements, GDPR, BCBS239, and
internal governance policies.
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Establish audit-ready documentation and migration traceability.
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Manage architecture review boards and design approvals.
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Drive data governance and security best practices.
Quality Assurance & Testing
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Oversee SIT, UAT, reconciliation, and production validation activities.
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Ensure migrated outputs meet functional and non-functional requirements.
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Drive defect management and production readiness assessments.
Team Leadership
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Lead and mentor data architects, DBT developers, data engineers, QA teams,
and business analysts.
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Support workforce planning, capability development, and delivery
excellence initiatives.
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Foster a culture of collaboration, innovation, and continuous improvement.
Required Technical Skills
Cloud & Data Platforms
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Google Cloud Platform (GCP)
-
BigQuery
-
Cloud Storage
-
Cloud Composer (Airflow)
-
Dataproc
-
Dataflow
-
IAM and Cloud Monitoring
Data Engineering
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DBT (Data Build Tool)
-
SQL
-
Python
-
PySpark
-
Data Warehousing
-
ETL/ELT Frameworks
-
Data Migration Methodologies
SAS Technologies
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SAS Base
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SAS Enterprise Guide
-
SAS DI Studio
-
SAS Macros
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PROC SQL
-
SAS Data Sets
Data Modeling
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Star Schema
-
Snowflake Schema
-
Data Vault
-
Dimensional Modeling
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Source-to-Target Mapping
DevOps & Automation
-
Git
-
CI/CD Pipelines
-
Azure DevOps / GitHub Actions
-
Infrastructure as Code concepts
Required Experience
-
12+ years of IT experience with 5+ years in technical delivery leadership
roles.
-
Proven experience delivering large-scale data migration and modernization
programs.
-
Strong experience in SAS to Cloud migration initiatives.
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Experience leading multi-pod delivery teams (20+ resources).
-
Hands-on experience with DBT and modern cloud data platforms.
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Experience in Banking, Financial Services, or Insurance domains.
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Strong understanding of regulatory and data governance requirements.
Preferred Qualifications
-
Google Cloud Professional Data Engineer Certification.
-
DBT Certification.
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PMP / PRINCE2 / Agile Certification.
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Experience with banking regulatory reporting and risk data platforms.
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Knowledge of BCBS239, IFRS9, AML, and GDPR frameworks.