Data Governance & AI Strategy Advisor
About the role
Overview
The Data Governance & AI Strategy Advisor is a critical leadership role responsible for the foundational health, governance, and intelligent evolution of our revenue operations ecosystem. This leader acts as the internal "Product Owner" for our commercial AI strategy and data architecture, with a laser focus on identifying and eliminating friction points in the sales process that impede bookings and revenue growth. Recognizing that an effective AI strategy requires a flawless data foundation, this role's primary mandate is to overhaul and govern our underlying data architecture, specifically within Salesforce and interconnected systems. Upon this clean data foundation, this leader will architect and govern a continuous, "agent-first" AI strategy. This is not a project-based execution role; it is a permanent strategic pillar designed to ensure our revenue engine remains data-driven, highly efficient, and deeply sales-rep-centric.
Duties and Responsibilities
- Enterprise Data Architecture & Governance
- Data Architecture Overhaul: Own the comprehensive redesign and optimization of the revenue organization's data architecture, identifying and resolving historical data debt and structural inefficiencies.
- Master Data Governance: Establish, lead, and enforce robust data governance frameworks, policies, and continuous monitoring processes to ensure absolute data integrity across all go-to-market systems.
- AI-Ready Data Enablement: Transform disparate, siloed data into a unified, "AI-ready" state. Drive the strategy for automated data hygiene, deduplication, and enrichment.
- Cross-Functional Data Leadership: Act as the ultimate authority on revenue data standards, partnering with IT, Enterprise Data teams, and business unit leaders to ensure seamless data flow and architectural alignment company-wide.
- AI Strategy & Internal Product Ownership
- Internal Product Lead: Serve as the ongoing Product Manager for our internal revenue capabilities. Define the long-term product vision, manage the strategic roadmap, and govern the lifecycle of all internal sales tools and AI deployments.
- Agent-First Transformation: Continuously evaluate sales, operational, and compensation workflows to identify opportunities for "agent-first" AI intervention. Maintain a dynamic prioritization matrix based on business impact, rep efficiency, and technical feasibility.
- Vendor Ecosystem Management: Own the ongoing evaluation, selection, and relationship management of our AI and data vendor ecosystem, ensuring our tech stack remains cutting-edge and perfectly mapped to our strategic needs.
- Systems Integration & Rep-Centric Operations
- Salesforce Optimization: Leverage deep, expert-level knowledge of Salesforce architecture to ensure data and AI initiatives are seamlessly integrated into the core CRM, maximizing utility and minimizing friction.
- Rep-Centric Workflow Design: Ensure every architectural change and AI deployment serves a singular purpose: making the sales representative's job easier, faster, and more effective.