Senior Technical Lead Application Rationalization Data Architecture

Job Title: Senior Technical Lead Application Rationalization Data Architecture

Location: Remote

Duration: 6+ months

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 fireenfield 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