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Sales & Marketing Data Manager

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: US101 Guidehouse Inc.
Full Time position
Listed on 2026-06-26
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, Data Warehousing
Salary/Wage Range or Industry Benchmark: 135000 - 225000 USD Yearly USD 135000.00 225000.00 YEAR
Job Description & How to Apply Below

Job Family:
Software Development & Support

Travel Required:

Up to 10%

Clearance Required:

None

Sales & Marketing Data Manager What You Will Do

The Sales & Marketing Data Manager is an internal IT role that serves as a strategic partner to sales, marketing, and executive leadership. This role is responsible for helping the business define, govern, and operationalize the data needed to measure performance, monitor business health, and support data‑driven decision‑making. The ideal candidate combines strong data and analytics expertise with business acumen, stakeholder influence, and the ability to translate business questions into clear metrics, dimensions, and actionable insights.

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.

Improve confidence in commercial data by increasing transparency, consistency, and data quality across reporting.

What You Will Need

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 Gen
2. 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…

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