Sales & Marketing Data Manager

Guidehouse is a leading consulting firm that specializes in various sectors, including data management and analytics. They are seeking a Sales & Marketing Data Manager to serve as a strategic partner to sales, marketing, and executive leadership, responsible for defining and operationalizing the data needed to support data-driven decision-making and performance monitoring.

Responsibilities:

• Partner with sales, marketing, finance, and executive stakeholders to identify the most important questions, decisions, and performance indicators needed to manage the business
• Lead the design and delivery of modern data engineering solutions that enable AI‑ready data, ensuring scalable, high‑quality data pipelines (Databricks, Azure Data Lake Gen2, etc.) and alignment to enterprise data discipline standards
• Develop and manage data products for sales and marketing and other data‑intensive domains, leveraging tools such as Python, R and advanced analytics techniques to drive business insights and measurable value
• Work closely with the AI & Data team to establish and enforce data discipline across the lifecycle—data quality, lineage, and governance (enablement)—to ensure reliable, reusable, and business-owned data assets
• Lead definition of key business metrics, calculations, and dimensions that enable consistent reporting and meaningful insights across sales and marketing processes
• Identify, assess, and document relevant data sources across CRM, marketing automation, ERP, data warehouse, and other enterprise systems
• Translate business requirements into scalable data definitions, reporting logic, and analytic models that support dashboards, scorecards, and ad hoc analysis to drive business outcomes
• Influence leaders and subject matter experts to align common definitions, prioritize data needs, and adopt standard measures for performance management
• Establish and maintain data governance practices for data domains, including metric definitions, data quality standards, business rules, and documentation
• Proactively identify gaps, inconsistencies, and risks in sales and marketing data, and drive remediation plans to improve trust, usability, and decision support
• Support ongoing business reviews, planning cycles, forecasting discussions, and performance management processes with reliable and timely data
• Promote a data-driven culture by helping stakeholders interpret results, understand metric tradeoffs, and use insights to inform decisions and actions
• Manage metadata, business glossaries, and documentation for core sales and marketing data assets and reporting logic
• Improves confidence in commercial data by increasing transparency, consistency, and data quality across reporting

Requirements:

• Bachelor's Degree and minimum 10 years of experience in data management, analytics, business intelligence, sales operations, marketing operations, or a related role or 14 years of relevant experience in lieu of degree
• US Citizenship required
• Experience working with sales and marketing data domains, including pipeline, bookings, revenue, campaign performance, funnel conversion, customer segmentation, or related commercial metrics
• Proficiency with Databricks, Azure Data Lake Gen2
• Demonstrated ability to work across business and technical teams to define requirements, align stakeholders, and deliver analytic solutions
• Strong understanding of KPI design, metric standardization, dimensional modeling concepts, and data governance principles
• Strong communication and facilitation skills, with the ability to influence senior leaders and subject matter experts without direct authority
• Experience documenting business definitions, logic, and requirements in a clear and sustainable manner
• Strong analytical, problem-solving, and critical-thinking skills with attention to detail and business context
• Ability to manage multiple priorities in a fast-paced, cross-functional environment
• Knowledge of CRM and marketing platforms such as Dynamics 365 (Sales/Customer Insights), GA4, SitecoreAI
• Experience with cloud data platforms, data warehouses, semantic models, or master data management practices
• Understanding of data privacy, access controls, and compliance considerations related to customer and commercial data