Manager, Marketing Strategy & Analysis

Retail & Hospitality Information Sharing & Analysis Center, Inc•Vienna, VA

3d•Remote

About The Position

The Retail & Hospitality Information Sharing and Analysis Center (RH-ISAC) is the trusted global community for sharing sector-specific cybersecurity information and intelligence. The RH-ISAC connects information security teams at the strategic, operational, and tactical levels to work together on issues and challenges, share best practices and benchmark among each other – all with the goal of building better security for the retail and hospitality industries through collaboration. RH-ISAC serves retailers, restaurants, hotels, gaming casinos, travel, food retailers, consumer products and other consumer-facing companies. The RH-ISAC team values the importance of trust, learning and commitment. Our mission matters, and you will contribute to positive change in the industries we serve. We trust our employees to balance their work hours to suit their lives outside of the office as long as main hours are covered and supervisor approves. We rely on one another to deliver on promises, and we offer opportunities to acquire new skills and stay ahead in your field. The manager of marketing strategy & analysis reports to the vice president of membership and marketing and is responsible for overseeing the promoting and the analysis of engagement of Core Members. The individual works also closely with the director of marketing & communications to ensure strong engagement within Core Membership.

Requirements

Bachelor's degree in Marketing, Communications, or related field and 5+ years of marketing experience
Strong command of marketing strategy, campaign planning, analytics, and conversion optimization.
Excellent analytical, project management, communication, and writing skills.
Experience with Google Analytics, Higher Logic, Informz, Salesforce, Microsoft Office 365
Strong background in data analysis, statistics, or data science, with the ability to explain insights to non-technical stakeholders.
Experience applying artificial intelligence tools, especially Slackbot and MS Co-Pilot to analyze customer, community, or member engagement data
Ability to balance strategic thinking with hands-on execution.
Be extremely detail-oriented, deadline-driven, adaptable and dependable
Embrace new challenges and thrive in a matrixed environment
Demonstrate your genuine desire and willingness to actively support your teammates
Be personable, professional, be driven by a can-do spirit, and have a good sense of humor
Must be a self-directed professional who thrives in a collaborative, fully remote work environment

Nice To Haves

Familiarity with membership organizations, associations, or subscription-based value models preferred

Responsibilities

Create and manage marketing plans and calendars aligned with organizational goals and events.
Create and execute marketing campaigns for RH-ISAC events, including Summit, Regional Workshops, CISO Forums, Dinners, Fraud Forums, and other in-person and virtual programs.
Promote events across RH-ISAC's channels (website, newsletters, member portal, calendar, emails, LinkedIn ads, social media posts, Slack, etc.).
Manage event marketing kits, timelines, and reporting.
Monitor and engage with RH-ISAC’s community on LinkedIn and other platforms.
Write and produce bi-weekly email newsletters.
Assist with Associate Member marketing and tracking entitlements execution.
Track KPIs for campaign performance, event registration, and conversion metrics, including managing UTM links and Google Analytics.
Use AI-driven analytics to understand, measure, and improve RH-ISAC individual member company engagement, participation, and utilization of member benefits across programs, platforms, and communities.
Translate complex engagement and member usage data into clear, actionable insights for Membership, Marketing, Events, and Leadership teams.
Leverage AI-assisted insights and reporting outputs to identify patterns in the member journey across RH-ISAC programs, platforms, events, and collaboration channels.
Analyze usage data of Core Member benefits (e.g., intelligence sharing, alerts, research, working groups, events) to assess value delivery, adoption trends, and member sentiment.
Leverage data-driven behavioral analytics to develop member personas and other representational techniques to inform targeted engagement strategies and personalized value propositions.
Partner with Engineering & Analytics to develop and refine engagement scoring models and segmentation frameworks to distinguish highly engaged, moderately engaged, and at-risk members.
Use predictive analytics to identify early signals of declining engagement and recommend proactive retention or re-engagement strategies.
Partner with Intel, Membership, and Events teams to evaluate the effectiveness of existing member benefits and inform the development or prioritization of new offerings.