Sr. Director of Business Intelligence & Reporting

Hearst Television in Charlotte, NC is seeking an experienced Sr. Director of Business Intelligence & Reporting to lead the development, implementation, and evolution of the data infrastructure and reporting solutions that power revenue pacing, sales performance, and fulfillment visibility across our omni-channel advertising business (linear, digital, and addressable).

This role blends strategic leadership with technical execution — translating business needs into scalable reporting platforms, defining functional requirements, and managing a cross-functional team to deliver high-impact BI solutions. The ideal candidate brings a strong foundation in data architecture and reporting workflows, combined with hands-on experience driving cross-team alignment and reporting that informs business decisions.

Key Responsibilities

• Strategic Leadership & Stakeholder Enablement
  • Define the vision and roadmap for reporting and BI solutions that support revenue generation, pacing, optimization, and campaign delivery.
  • Serve as a key interface between sales, revenue operations, and data teams to ensure reporting platforms meet evolving needs and unlock business value.
  • Translate business requirements into actionable technical deliverables for data engineering and analysts.
  • Foster a culture of data-driven decision-making and reporting accuracy across the organization.
• BI Platform Development & Reporting Delivery
  • Oversee the design and execution of data pipelines and models that support core BI use cases, including revenue pacing, forecasting, fulfillment, and executive dashboards.
  • Manage delivery of intuitive, scalable self-service dashboards (e.g., Power BI) that provide timely insights to sales, finance, and leadership.
  • Approve and QA all frontend visualizations and reports to ensure data quality, stakeholder usability, and alignment with business definitions.
• Data Architecture & Engineering Oversight
  • Partner with internal engineering teams and corporate data leadership on data lake/data warehouse structure, performance tuning, and best practices.
  • Guide implementation of data modeling, ETL/ELT workflows, API integrations, and metadata management to ensure scalable backend support for BI.
  • Ensure data infrastructure is performant, reliable, and aligned with operational SLAs.
• Operations, Governance & Compliance
  • Collaborate with DevOps to establish monitoring, alerting, and incident response for BI systems and pipelines.
  • Champion data governance practices including lineage, cataloging, access controls, and documentation.
  • Ensure compliance with security standards, internal policies, and regulatory frameworks.
• Team & Vendor Management
  • Build, lead, and mentor a high-performing team of analysts, BI developers, and data engineers.
  • Evaluate, negotiate, and manage vendor contracts related to data platforms, tooling, and GAI-enhanced reporting automation.
  • Stay current with emerging technologies (e.g., GAI for data teams) and integrate tools that accelerate analyst productivity and insight generation.

Required Qualifications

• 10+ years in data engineering, business intelligence, or analytics platform roles, with 5+ years in team leadership or platform ownership.
• Proven ability to define BI/reporting requirements and deliver backend data and frontend dashboards that support revenue operations.
• Strong command of modern BI and data tools: Power BI, SQL, BigQuery, Fabric/Synapse, Airflow, Kafka.
• Familiarity with scripting tools like Python and query/posting tools like Postman for testing API and pipeline performance.
• Experience with ETL/ELT pipeline development and debugging; comfort with both streaming and batch data workflows.
• Knowledge of project and documentation tools such as Jira, Confluence, and GitHub (standardized across media divisions).
• Strong communication and cross-functional leadership skills, with experience reviewing and approving analytics outputs for business use.

Preferred Qualifications

• Background in high-volume transactional or media-related data systems.
• Experience building reporting for omni-channel sales (linear, digital, addressable).
• Exposure to GAI tools to enhance analyst workflows or support self-service enablement.
• Experience in both build and scale phases of BI/data platform maturity.
• Advanced degree in Computer Science, Business Analytics, or related field (or equivalent experience).

Diversity Statement