Job DescriptionKey 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 and executing complex enterprise data migrations and third-party software integrations.
- Consulting Background: Previous client-facing professional services or premium data consulting experience is highly preferred.
- Education: Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Business Administration, or an equivalent technical field.
- Data management or governance certifications (e.g., DAMA-CDMP).
Core Competencies
- Advanced Technology Literacy: Strategic understanding of BI tools, ETL architectures, cloud compliance, and modern agentic AI applications.
- Cross-Functional Influence: Proven ability to partner dynamically across Product, Engineering, Sales, and Customer Success silos to operationalize data products and services.
- Executive Communication: Exceptional communication, stakeholder management, and narrative-building skills capable of translating complex analytics into clear business actions.
Medical, Dental & Vision Benefits
401(k) Savings Plan with Company Match
Flexible Planned Paid Time Off
Generous Sick Leave
Inclusive & Welcoming Environment
Purpose-Driven Culture
Work-Life Balance
Commitment to Community Involvement
Employer-Paid Parental Leave
Employer-Paid Short-Term Disability
Remote Work Flexibility
