Sales Data Steward & Salesforce Administration Associate at Huron Consulting Group in Outer Ring Road

Job description

Huron is redefining what a global consulting organization can be. Advancing new ideas every day to build even stronger clients, individuals and communities. We’re helping our clients find new ways to drive growth, enhance business performance and sustain leadership in the markets they serve. And, we’re developing strategies and implementing solutions that enable the transformative change they need to own their future. As a member of the Huron corporate team, you’ll help to evolve our business model to stay ahead of market forces, industry trends and client needs. Our accounting, finance, human resources, IT, legal, marketing and facilities management professionals work collaboratively to support Huron’s collective strategies and enable real transformation to produce sustainable business results. Join our team and create your future. Position Summary The Growth Enablement Team (GET) is a robust sales support team with the goals of improving sales experiences, efficiency, and win rates. GET provides support across several key pillars: sales education programming; sales technology, reporting, and analytics; sales prospecting; sales opportunity support (RFPs, orals); and sales asset content and visual design. This remote team consists of US-, Canada- and India-based team members that support all industries and capabilities within Huron. Huron is seeking an Associate to execute CRM data management and Salesforce administration in support of sales data quality across our internal CRM and analytics ecosystem, with a primary focus on Salesforce, our enterprise data lakehouse, and BI tools. Working within the Data, Analytics & AI pillar and partnering closely with the data governance function, this role keeps opportunity, account, contact, lead, case, and pipeline data clean, consistent, and reporting-ready. The role is hands-on: investigating data quality issues, executing mass updates and remediation safely, and helping bring consistency to standardized reporting. This is an execution and analysis role operating inside a heavily customized, multi-system integrated ecosystem. It does not own system design: changes to validation rules, automation, code, security model, or integrations remain with IT Salesforce Product Support, and all configuration changes follow the standard design review and approval path before implementation. The position consolidates routine CRM data execution that currently passes between GET Data & Analytics, GET Salesforce Ops/Business Support, and IT Salesforce Product Support, giving that work a dedicated owner. The ideal candidate is a certified Salesforce Administrator with 2-4 years of relevant experience who works on more complex issues following defined parameters and methodologies, requires limited oversight to complete assignments, is genuinely curious about applying AI and automation to manual data work, and is eager to develop data engineering and Databricks capability over time. Responsibilities The Associate executes and maintains sales data quality within Salesforce and downstream systems, turning governance standards into clean, trustworthy data in the system. They partner cross-functionally with Growth Enablement, IT Salesforce Product Support, Analytics, and the Data Governance function to investigate and resolve data issues, execute large-scale corrections, and support trusted sales data that enables effective decision-making. Supports the quality, integrity, and ongoing management of sales and CRM data across Salesforce and related systems. Performs data quality analysis, bulk data remediation, and approved Salesforce data administration activities; investigates and resolves data issues; and applies established governance standards to maintain accurate, consistent, and reporting-ready data. Partners with Growth Enablement, IT, Analytics, and Data Governance teams to support trusted sales data and improve data management processes, including opportunities for automation and AI-enabled efficien