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
Operate within a hybrid architecture (Azure cloud and on-premise systems) with security-driven
constraints
Design secure, compliant, and pragmatic data integration approaches across segmented and
restricted environments
Data Architecture & Integration
Own data architecture across the APM ecosystem (Orbus, ServiceNow, Informatica, EDW, and
related platforms)
Define and maintain data flows, integrations, and system-of-record alignment
Architect and manage data collection, storage, and synchronization across systems
Ensure a single source of truth for application inventory, relationships, usage, licensing, and
dependencies
Lead data model design, attribute mapping, and cross-system reconciliation
Design and manage hybrid data architecture across Azure and on-premise systems, including
legacy and constrained platforms
Data Governance & Quality
Define and enforce data governance rules (validation, normalization, de-duplication, attribute
mapping)
Establish authoritative data sources and ownership model across systems
Maintain data lineage, traceability, and audit readiness
Develop data quality monitoring frameworks and dashboards to identify gaps and risks
Document data models, definitions, and mapping logic for transparency and onboarding
Cross-Functional Alignment & Decision Enablement
Lead alignment across IT stakeholders (Infrastructure, Service Desk, Applications, Data, Engineering
Platforms) to establish common data definitions and ownership
Drive agreement on systems of record and supporting systems, including roles of Orbus,
ServiceNow, and ancillary platforms
Facilitate decisions on data ownership, system boundaries, and integration responsibilities
Translate complex data architecture into clear executive-level narratives, visuals, and decision
frameworks
Program Enablement & Data Strategy
Define and manage phased data strategy, transitioning from interim repositories (e.g.,
spreadsheets, temporary databases) to fully integrated systems of record
Ensure continuity, traceability, and data integrity throughout the transition
Enable repeatable, scalable rationalization processes through structured data foundations
Support decision workflows (retain/retire/replace) with clean, reliable, decision-ready data
Data Collection Acceleration & Integration
Identify and enable integration points (procurement, contract systems, telemetry tools,
infrastructure platforms) to accelerate data collection
Reduce reliance on manual data gathering by leveraging automated pipelines and ingestion
frameworks
Partner with integration and data teams to establish efficient data pipelines and synchronization
Enable data ingestion across secure and restricted environments, leveraging appropriate patterns
for cloud, on-prem, and segmented systems
Team Leadership & Execution
Along with program executive, assign and oversee Enterprise Architects (EAs) and Data Analysts
aligned to application portfolios
Ensure application metadata completeness, accuracy, and ongoing maintenance
Drive accountability for data quality and portfolio integrity across domains
Stakeholder Collaboration
Partner with application owners, SMEs, infrastructure, ServiceNow/CMDB teams, and business
stakeholders to define requirements and validate data
Translate complex technical concepts into clear, business-friendly guidance
Participate in governance forums, design decisions, and issue resolution
Provide recommendations on tooling, architecture, and process improvements to strengthen the
APM program
Expectations (What Success Looks Like)
Clear, executable integration roadmap between Orbus and ServiceNow, aligned to Greenfield
strategy
Defined and agreed systems of record and authoritative data sources across IT
Consistent, reconciled application metadata across all platforms
Operational data pipelines and synchronization mechanisms in place
Seamless transition from temporary data sources to enterprise systems of record
High-quality, traceable data supporting rationalization decisions and executive reporting
Transparent, documented data models, definitions, and governance standards
Data foundation that enables scalable, repeatable application rationalization execution
Success in this role may be measured by:
Accuracy and completeness of the application inventory
Reduction in duplicate or conflicting application records
Timeliness of data refresh and reporting availability
Quality of data supporting rationalization decisions
Scalability and maintainability of the APM data architecture
Stakeholder confidence in APM reporting and analytics
Effective support of governance, rationalization, and modernization decisions
Core Competencies
Strong data ownership mindset with focus on accuracy, completeness, and consistency
Proactive problem solver; identifies hidden gaps and resolves root causes
Ability to operate effectively in complex, fragmented environments
Experience working in security-constrained, hybrid enterprise environments (cloud + on-prem)
Ability to design solutions within restricted data access and integration limitations
Balances technical rigor with business usability and speed to execution
Action-oriented with strong accountability for outcomes
Excellent communicator with ability to simplify complex concepts for business and executive
audiences
Qualifications
Senior Data Architect or experienced DBA with deep expertise in ServiceNow and Orbus Infinity (iServer)
Strong hands-on experience with data modeling, meta-model configuration, and attribute management
Proven experience implementing Application Portfolio Management / Rationalization programs
Experience with data integration tools (Informatica, APIs, EDW pipelines)
Strong experience in cross-system data mapping and reconciliation
Experience integrating on-premise / legacy systems with cloud platforms
Experience with Azure data ecosystem preferred
Understanding of enterprise security, data access controls, and compliance constraints
Experience defining data governance frameworks and standards (DAMA, ISO 8000 preferred)
Strong executive communication and visualization skills
Experience with Power BI or similar reporting tools preferred