Job Description

Key Responsibilities 

1. Enterprise Data Architecture & Strategy 

• Architecture Ownership: Own, evolve, and scale the enterprise data architecture supporting all product verticals. 

• Operational Standards: Establish standards, best practices, and repeatable patterns for data ingestion, transformation, and consumption. 

• Roadmap Alignment: Align data strategy directly with internal product roadmaps, engineering timelines, and advanced client analytics needs. 

2. Data Migration Leadership 

• Planning & Design: * Define data migration scopes, constraints, historical requirements, and success criteria. 

• Design data mapping, transformation, enrichment, validation, and rollback protocols. 

• Partner with stakeholders to establish testing cycles, cutover plans, and client approvals. 

• Execution & Delivery: Oversee extraction, transformation, and loading (ETL) into test, UAT, and production environments. 

• Lead iterative migration cycles, resolve technical anomalies, and manage post-migration hypercare/remediation. 

• Deliver comprehensive migration completion documentation and client sign-offs. 

3. Momentive IQ Data Services & Consulting 

• Data Readiness: Assess source data usability; cleanse, normalize, and de-duplicate data sets to make them analytics-ready. 

• Custom Analytics & BI: Translate complex business objectives into custom dashboards, defining metrics, visualizations, filters, and refresh cadences. 

• Strategy Consulting: Advise clients on data collection methodologies (timing, frequency, automation) and practical data governance/stewardship operating frameworks. 

4. Premium Offerings, Commercialization, & Insights 

• Help define, manage, and mature the delivery workflows and quality standards associated with the Company’s AI Analytics subscription service offerings. 

• Prescriptive Analytics: Operationalize benchmarking frameworks and peer-group analysis, translating data into executive-ready insights for priority customer segments. 

• Service Commercialization: Track measurable client outcomes to develop case studies; partner with Product, Marketing, and Sales to support go-to-market and thought-leadership activities. 

5. Third-Party Integrations & Agentic AI 

• Integration Roadmap: Scope, prioritize, and support deal-driven integrations with third-party platforms to enhance workflow analytics. 

• Agentic Capabilities: Contribute to the creation, refinement, and client-facing alignment of agentic roles and AI-enabled capabilities. 

6. Organizational Leadership & Legacy Client Continuity 

• Org Design: Build out the core Data Strategy & Services operating models, documentation standards, and prioritization frameworks. 

• Legacy Continuity: Maintain high-level Project Manager/Customer Engagement continuity for designated legacy accounts (requirements definition, risk management, internal coordination) during the initial transition framework. 

• Lead the creation and execution of cross-functional and cross-product data best practices.  

Key Performance Deliverables 

• Create and maintain Data COE Playbooks: Recommended operating models, prioritization frameworks, and service definitions for the scaled Data Strategy organization. 

• Create and maintain Technical Checklists: Robust service packages, data migration roadmaps, governance documentation, and architectural mapping guides. 

• Momentive IQ Professional Services revenue in alignment with commercial targets.  

• Team billable utilization equal to or greater than goal.  

• Client NPS scores equal to or greater than goals.  

Job Qualifications 

Experience & Education 

• Professional Experience: 7+ years of progressive leadership experience in Data Architecture, Enterprise Analytics, Business Intelligence, or Data Strategy.  

• Migration Domain Expertise: Demonstrated success in structuring an