Job Summary:

The Senior Data Manager is responsible for the strategic oversight, governance, analysis, and optimization of marketing and business performance data. This role serves as the primary authority for data integrity, reporting frameworks, forecasting methodologies, and performance measurement standards across the organization. The Senior Data Manager exercises independent judgment and discretion in developing reporting solutions, identifying business trends, evaluating operational performance, and providing data-driven recommendations that support executive decision-making and organizational objectives.

Supervisory Responsibilities:

• No direct supervisory responsibilities.

Duties/Responsibilities:

• Own and manage all marketing data, reporting, forecasting, and analytics initiatives.
• Develop, maintain, and enhance executive dashboards, scorecards, and reporting frameworks that provide actionable business insights.
• Establish and enforce data governance standards, including naming conventions, attribution methodologies, data quality controls, and reporting consistency.
• Design and implement reporting strategies that support business planning, operational efficiency, and organizational growth.
• Analyze complex datasets to identify trends, risks, opportunities, and performance drivers across marketing and sales operations.
• Develop forecasting models and performance measurement tools to support strategic planning and resource allocation.
• Exercise independent judgment in determining reporting methodologies, key performance indicators (KPIs), and data management practices.
• Manage audience files, suppression lists, reference data, and other critical business datasets while ensuring data accuracy and compliance.
• Serve as the primary subject matter expert for marketing analytics, attribution reporting, lead generation metrics, and sales funnel performance.
• Partner with executive leadership and cross-functional teams to provide strategic insights and recommendations based on data analysis.
• Collaborate with internal stakeholders and external vendors to improve data collection, system integration, reporting capabilities, and operational processes.
• Investigate and resolve data discrepancies, reporting issues, and process inefficiencies while implementing corrective and preventive measures.
• Identify opportunities for automation, process improvement, and enhanced reporting functionality.
• Lead special projects involving advanced analytics, forecasting, attribution modeling, and business intelligence initiatives.
• Maintain documentation of reporting processes, data definitions, governance standards, and analytical methodologies.

Required Skills/Abilities:

• Advanced knowledge of data management, business intelligence, analytics, forecasting, and reporting methodologies.
• Strong understanding of marketing KPIs, customer acquisition metrics, sales funnel analytics, and performance measurement.
• Demonstrated ability to exercise discretion and independent judgment on matters that significantly impact business operations and decision-making.
• Advanced proficiency in Microsoft Excel and Microsoft Office Suite.
• Experience with business intelligence tools, dashboard development, and data visualization platforms.
• Proficiency with Google Tag Manager, Meta Business Manager, and similar marketing technology platforms.
• Strong analytical and problem-solving skills with the ability to interpret complex data and communicate findings effectively.
• Ability to organize, prioritize, and manage multiple projects in a fast-paced environment.
• Excellent written, verbal, and presentation skills.
• Ability to work independently while collaborating effectively with stakeholders across the organization.

Education and Experience:

• Bachelor’s degree in Marketing, Business Analytics, Computer Science, Information Systems, Statistics, Data Science, or a related field required.
• Minimum of five (5) years of experience in data management, business intelligence, analytics, marketing operations, or a related discipline.
• Experience developing executive reporting packages, forecasting models, and performance measurement systems.
• Demonstrated experience managing large datasets and translating analytical findings into business recommendations.