iCIMS Inc

• Salary:
• Location: Hyderabad
• Key Skills: Accounting

Job Description:

Job description Job Overview We are seeking a strategic and hands-on Manager of Business Intelligence (BI) and Data Governance to lead the development and execution of our enterprise-wide data strategy. This role will oversee data governance frameworks, manage modern BI platforms, and ensure the integrity, availability, and usability of business-critical data. Reporting into senior leadership, this role plays a pivotal part in shaping data-informed decision-making across functions including Finance, Revenue Operations, Product, and more. The ideal candidate is a technically proficient and people-oriented leader with a deep understanding of data governance, cloud data architecture, and SaaS KPIs. They will drive stakeholder engagement, enablement, and adoption of data tools and insights, with a focus on building scalable, trusted, and observable data systems. About Us When you join iCIMS, you join the team helping global companies transform business and the world through the power of talent. Our customers do amazing things: design rocket ships, create vaccines, deliver consumer goods globally, overnight, with a smile. As the Talent Cloud company, we empower these organizations to attract, engage, hire, and advance the right talent. We re passionate about helping companies build a diverse, winning workforce and about building our home team. Were dedicated to fostering an inclusive, purpose-driven, and innovative work environment where everyone belongs. Responsibilities Data Governance Leadership: Establish and maintain a comprehensive data governance framework that includes data quality standards, ownership models, data stewardship processes, and compliance alignment with regulations such as GDPR and SOC 2. Enterprise Data Architecture: Oversee data orchestration across Salesforce (SFDC), cloud-based data warehouses (e.g., Databricks, Snowflake, or equivalent), and internal systems. Cross collaborate with data engineering team for the development and optimization of ETL pipelines to ensure data reliability and performance at scale. Team Management & Enablement: Lead and mentor a team of BI analysts, and governance specialists. Foster a culture of collaboration, continuous learning, and stakeholder enablement to increase data adoption across the organization. BI Strategy & Tools Management: Own the BI toolset (with a strong emphasis on Tableau), and define standards for scalable dashboard design, self-service reporting, and analytics enablement. Evaluate and incorporate additional platforms (e.g., Power BI, Looker) as needed. Stakeholder Engagement & Strategic Alignment: Partner with leaders in Finance, RevOps, Product, and other departments to align reporting and data strategy with business objectives. Translate business needs into scalable reporting solutions and drive enterprise-wide adoption through clear communication and training. Data Quality & Observability: Implement data quality monitoring, lineage tracking, and observability tools to proactively detect issues and ensure data reliability and trustworthiness. Documentation & Transparency: Create and maintain robust documentation for data processes, pipeline architecture, code repositories (via GitHub), and business definitions to support transparency and auditability for technical and non-technical users. Executive-Level Reporting & Insight: Design and maintain strategic dashboards that surface key SaaS performance indicators to senior leadership and the board. Deliver actionable insights to support company-wide strategic decisions. Continuous Improvement & Innovation: Stay current with trends in data governance, BI technologies, and AI. Proactively recommend and implement enhancements to tools, processes, and governance maturity. Qualifications Data Governance Expertise: Proven experience implementing data governance frameworks, compliance standards, and ownership models across cross-functional teams. SQL Expertise: Advanced SQL skills with a strong background in ETL/data pipeline development across systems like Salesforce and enterprise data warehouses. BI Tools