Senior Technical Lead – Application Rationalization Data Architecture

Senior Technical Lead – Application Rationalization Data Architecture

Role Summary
Senior Technical Lead responsible for designing and operationalizing the data foundation for the Application Rationalization program and Application Portfolio Management (APM).
This role serves as the technical data leader and right-hand partner to program leadership, accountable for establishing a trusted, integrated data ecosystem across Orbus Infinity, ServiceNow, and enterprise systems.
Operating within a complex, security-driven hybrid environment (Azure cloud and on-premise systems), this role requires pragmatic and innovative approaches where not all data sources are cloud-enabled or easily integrated.
Owns end-to-end data architecture, governance, and integration strategy, ensuring accuracy, consistency, and alignment across fragmented data sources while enabling a scalable, repeatable rationalization program.
Acts as a cross-functional leader and decision enabler, driving alignment across IT stakeholders on data definitions, system-of-record ownership, and integration strategy to support enterprise decision-making.
Key Responsibilities
Environment
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Operate within a hybrid architecture (Azure cloud and on-premise systems) with security-driven constraints
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Design secure, compliant, and pragmatic data integration approaches across segmented and restricted environments
Data Architecture & Integration
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Own data architecture across the APM ecosystem (Orbus, ServiceNow, Informatica, EDW, and related platforms)
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Define and maintain data flows, integrations, and system-of-record alignment
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Architect and manage data collection, storage, and synchronization across systems
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Ensure a single source of truth for application inventory, relationships, usage, licensing, and dependencies
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Lead data model design, attribute mapping, and cross-system reconciliation
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Design and manage hybrid data architecture across Azure and on-premise systems, including legacy and constrained platforms
Data Governance & Quality
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Define and enforce data governance rules (validation, normalization, de-duplication, attribute mapping)
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Establish authoritative data sources and ownership model across systems
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Maintain data lineage, traceability, and audit readiness
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Develop data quality monitoring frameworks and dashboards to identify gaps and risks
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Document data models, definitions, and mapping logic for transparency and onboarding
Cross-Functional Alignment & Decision Enablement
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Lead alignment across IT stakeholders (Infrastructure, Service Desk, Applications, Data, Engineering Platforms) to establish common data definitions and ownership
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Drive agreement on systems of record and supporting systems, including roles of Orbus, ServiceNow, and ancillary platforms
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Facilitate decisions on data ownership, system boundaries, and integration responsibilities
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Translate complex data architecture into clear executive-level narratives, visuals, and decision frameworks
Program Enablement & Data Strategy
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Define and manage phased data strategy, transitioning from interim repositories (e.g., spreadsheets, temporary databases) to fully integrated systems of record
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Ensure continuity, traceability, and data integrity throughout the transition
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Enable repeatable, scalable rationalization processes through structured data foundations
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Support decision workflows (retain/retire/replace) with clean, reliable, decision-ready data
Data Collection Acceleration & Integration
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Identify and enable integration points (procurement, contract systems, telemetry tools, infrastructure platforms) to accelerate data collection
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Reduce reliance on manual data gathering by leveraging automated pipelines and ingestion frameworks
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Partner with integration and data teams to establish efficient data pipelines and synchronization
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Enable data ingestion across secure and restricted environments, leveraging appropriate patterns for cloud, on-prem, and segmented systems
Team Leadership & Execution
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Along with program executive, assign and oversee Enterprise Architects (EAs) and Data Analysts aligned to application portfolios
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Ensure application metadata completeness, accuracy, and ongoing maintenance
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Drive accountability for data quality and portfolio integrity across domains
Stakeholder Collaboration
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Partner with application owners, SMEs, infrastructure, ServiceNow/CMDB teams, and business stakeholders to define requirements and validate data
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Translate complex technical concepts into clear, business-friendly guidance
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Participate in governance forums, design decisions, and issue resolution
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Provide recommendations on tooling, architecture, and process improvements to strengthen the APM program
Expectations (What Success Looks Like)
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Clear, executable integration roadmap between Orbus and ServiceNow, aligned to Greenfield strategy
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Defined and agreed systems of record and authoritative data sources across IT
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Consistent, reconciled application metadata across all platforms
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Operational data pipelines and synchronization mechanisms in place
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Seamless transition from temporary data sources to enterprise systems of record
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High-quality, traceable data supporting rationalization decisions and executive reporting
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Transparent, documented data models, definitions, and governance standards
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Data foundation that enables scalable, repeatable application rationalization execution
Success in this role may be measured by:
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Accuracy and completeness of the application inventory
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Reduction in duplicate or conflicting application records
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Timeliness of data refresh and reporting availability
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Quality of data supporting rationalization decisions
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Scalability and maintainability of the APM data architecture
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Stakeholder confidence in APM reporting and analytics
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Effective support of governance, rationalization, and modernization decisions
Core Competencies
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Strong data ownership mindset with focus on accuracy, completeness, and consistency
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Proactive problem solver; identifies hidden gaps and resolves root causes
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Ability to operate effectively in complex, fragmented environments
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Experience working in security-constrained, hybrid enterprise environments (cloud + on-prem)
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Ability to design solutions within restricted data access and integration limitations
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Balances technical rigor with business usability and speed to execution
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Action-oriented with strong accountability for outcomes
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Excellent communicator with ability to simplify complex concepts for business and executive audiences
Qualifications
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Senior Data Architect or experienced DBA with deep expertise in ServiceNow and Orbus Infinity (iServer)
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Strong hands-on experience with data modeling, meta-model configuration, and attribute management
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Proven experience implementing Application Portfolio Management / Rationalization programs
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Experience with data integration tools (Informatica, APIs, EDW pipelines)
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Strong experience in cross-system data mapping and reconciliation
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Experience integrating on-premise / legacy systems with cloud platforms
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Experience with Azure data ecosystem preferred
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Understanding of enterprise security, data access controls, and compliance constraints
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Experience defining data governance frameworks and standards (DAMA, ISO 8000 preferred)
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Strong executive communication and visualization skills
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Experience with Power BI or similar reporting tools preferred