Data Strategy and Leadership

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Develop and execute a comprehensive data and analytics strategy to enhance the organization’s data maturity and decision-making capabilities.
Promote a data-driven culture across the organization, championing the use of analytics to support business objectives.
Act as a strategic advisor to senior leadership, delivering actionable insights that inform organizational priorities and member engagement.

\nTeam Building and Development\n\n

Recruit, mentor, and manage a small, high-performing data and analytics team.
Foster a collaborative and innovative environment that encourages professional growth and continuous learning.

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Analytics and Insights

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Lead efforts to analyze member behaviors, preferences, and engagement to drive targeted programs and services.
Develop dashboards, reports, and advanced analytics models to provide actionable insights to stakeholders.
Design strategies to better understand the impact of events, member services, and advocacy efforts on the organization’s goals.

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Data Governance and Management

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Establish best practices for data governance, ensuring data quality, accuracy, security, and compliance.
Oversee data integration from disparate systems, creating a unified view of organizational and member data.
Implement modern data tools and technologies to support efficient data collection, storage, and analysis.

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Cross-Functional Collaboration

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Work collaboratively to ensure all data architecture, management, governance, services and analytical tools align with the current and emerging technology strategy and operations.
Partner with departments such as events, marketing, research, advocacy, and membership to identify data needs and develop tailored solutions.
Provide data & analytics solutions to support marketing needs during CES tradeshow season including managing entity-resolution platform, segmenting audiences, supporting special programs, generating data extensions for marketing campaigns and delivering pre- and post-show reports.
Drive initiatives to support standardization and automation of data processes across the organization

\nQualifications\n\n

8+ years of experience in analytics, data management, or business intelligence, with 3+ years in a leadership role.
Bachelor’s or Master’s degree in Data Science, Business Analytics, Computer Science, or a related field
Demonstrated ability to deliver impactful insights that drive organizational goals and improve decision-making.
Proficiency with modern data tools and platforms, including data engineering and orchestration frameworks, datalake cloud platforms (Snowflake) and visualization tools and programming languages (e.g., Python, R, SQL).
Strong understanding of data architecture, integration, and governance best practices.
Experience working with multiple stakeholders to align analytics projects with strategic priorities.
Excellent communication skills, with the ability to translate complex data into clear, actionable insights for technical and non-technical audiences.
Leadership skills, including team management, strategic thinking, and influencing change.
Experience working with digital marketing platforms such as Salesforce Marketing Cloud is a plus.
Passion for mission-driven work and a commitment to advancing the organization’s goals.

\nJob Type: Full-Time
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