The VP, Enterprise Architect role, reporting to the Head of Enterprise Architecture is a change and strategic leader, who will be key to uplifting SPE Architectural maturity and value by executing an effective Enterprise Architecture Program. This role will be responsible for developing and executing architecture strategies for the SPE enterprise with a focus on Data and Integration domains.
Core Responsibilities:
Develop the Data/Analytics, Integration Strategies and platform architectures.
Develop the Data Governance Operating Model.
Participate in Data Transformation Projects.
Support the EA Program Activities and Initiatives (Portfolio Rationalization, Capability Analysis, Target State Architecture, Architecture Review Board).
Leadership & Influence:
Partner with multiple SPE stakeholders including IT and Business Executives, Architects, Application Developers, System Engineers, Information Security, Procurement, CDO, Legal and Privacy.
Demonstrate a track record of delivering highly matrixed programs through direct management and indirect sponsorship.
Drive and influence stakeholders to adopt a cost-effective, innovative, and modernization mindset through setting architecture guidance, communication, and governance.
Requirements:
BS/MS in Data Analytics or Computer Science.
15+ years in IT with a focus on Data, Security, Integration.
8+ years of experience with technology delivery positions, analytics and reporting, and Data Warehouse/Lake.
5 years’ experience with Enterprise Architecture Program (Architecture Review Board, Pattern, Standards, Technology Catalog, Business Application Portfolio Rationalization, Change Management process, Risk Management).
5+ years of experience with data engineering/modeling, consulting/training skills, information security, data governance, architecture strategy development, and executive communication.
AWS/GCP/Azure Certifications preferred.
Experience using Collibra, SAP Datasphere, Erwin, Excel, Java, Python, LLM, Informatica, Datastage, Alteryx, Jira, ServiceNow, Sharepoint, Confluence.
Reporting & Analytics Skills (Power BI, Tableau, Excel).
Data Warehouse/Lake engineering skills.
2 years understanding of data mesh architecture.
Data Modeling skills to represent organizational data.
Strong collaboration skills at building cross-functional teams.
Effective presentation skills capable of addressing executive as well as technical audiences.
Industry Experience:
Technical Skills:
Seasoned Enterprise Architect with cross-domain skills and practiced modern methods in the Data, Analytics, and Integration domains.
Coordinate and develop the Data Architecture Strategy for SPE addressing data management, data platforms, BI and analytics, and data governance.
Participated in establishing data management capabilities such as metadata management, lineage, data governance, data discovery, data protection, and data quality.
Experience establishing data ownership/stewardship/custodianship and advising the creation of the data ownership model and responsibilities.
Experience with data modeling and Information Architecture to enable federation of data governance responsibility (Collibra or comparable).
Experience with data mesh and fabric architectures and implementing best practices (SAP Datasphere or comparable).
Understanding of AI/ML technology to mature the DataOps and MLOps capabilities.
Ability to develop robust business cases for investments in data technology.
Data Modeling capability and familiarity with Enterprise Data concepts.
Experience in engineering data warehouses/data lakes (Snowflake, BigQuery, Redshift).
Work with Integration Platform teams to define the target multi-cloud integration strategy and design patterns.
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