The Commercial Data Strategist serves as the connective tissue between GTM systems architecture, analytics, and strategy. This role drives and maintains the commercial data model across key platforms (CRM, ABM, MAP, event tools, BI, etc.), governs data definitions, and orchestrates high-quality data flow that enables actionable insights and decisioning. A key aspect of this role is data operations: owning ingestion, transformation standards, quality monitoring, lineage, and master data practices across the go-to-market infrastructure. The Strategist partners closely with functions across the organization including Marketing, Sales, Solution Consulting, Client Experience, Delivery, Finance and Product to ensure a unified, insight-driven operating model.
Essential Functions and Responsibilities:
Data Strategy & Model Ownership: Drive forward and maintain the commercial data model across MAP/CRM (Hubspot) and connected systems (ABM, CPQ, event management, enrichment, BI). Ensure scalability, documentation, and change control.
Data Operations & Governance: Establish and run standards for data ingestion, schema management, transformation logic, release/change management, SLA/monitoring, lineage, and incident management. Drive proactive data quality programs (validations, deduping, audits) and identify data gaps; design new data capture processes or integrations to close the identified gaps.
Integration & System Architecture: Translate business needs into scalable data designs across the go-to-market technology ecosystem. Define integration configuration and specs for current and new tools (e.g., Gifting, event platforms, CPQ, intent/firmographic providers), including field mapping, identity resolution, and error handling.
Market‑to‑Cash Alignment: Map key objects and processes (engagement → opportunity → order/contract) to ensure downstream reporting and revenue intelligence. Coordinate product‑related data structures (attributes, catalogs, hierarchies) in cross-functional partnership with product, finance, delivery and others.
BI/Analytics Collaboration: Partner closely with analytics stakeholders within and outside the Commercial organization to ensure seamless data flow between systems and drive translation of business questions into semantic layers and durable datasets; enable certified data sources for self-service insights.
Documentation & Enablement: Publish data dictionaries, integration runbooks, governance policies, and training materials; drive adoption and compliance through a structured data enablement program.
Data Privacy & Compliance: Define guardrails for data retention, consent, and usage in partnership with Security/Legal; ensure controls are reflected in the data model and integrations.
Position Specifications
Education:
Bachelor’s degree in Information Systems, Data Management, Analytics, Business, or related discipline; or equivalent experience.
Advanced coursework/certifications in data modeling, governance, or cloud/BI platforms a plus.
Experience:
5–8+ years in data strategy/analytics/operations within B2B SaaS/technology; demonstrated ownership of cross‑system data models and governance.
Hands-on experience with key B2B go-to-market technologies including CRM , Marketing Automation, Account-Based Technology, CPQ, data integration tools, BI/data visualization—plus other commonly integrated technologies.
Knowledge, Skills, & Abilities:
Deep understanding of GTM data (targeting, engagement, journeys, pipeline, forecasting, renewals/expansion).
Data Operations practices: data pipeline management, data quality oversight & governance, release/change management and automation design.
Strong data modeling and architecture fundamentals; familiarity with semantic layers and metric stores.
Excellent documentation, facilitation, and stakeholder management; ability to translate business goals into data designs and drive change across functions.
Familiarity with account-based concepts and multi-stage journey models..
Travel:
Minimal, generally 12 days or less per year, ~2X team get togethers a year