Marketing Data Strategy Manager

Position Summary:

Direct Supply is building the future of healthcare technology with industry-leading products, solutions and platforms to help improve the lives of millions of seniors and those who care for them.

In the Marketing Data Strategy Manager position, you'll play a critical role in evolving how we harness customer data-both internally and externally-leveraging AI and emerging technologies to drive brand awareness, growth, and expansion across our target markets and solution groups. You'll be responsible for integrating go-to-market tools, defining critical data flows, and ensuring teams have actionable insights to drive customer engagement and optimize marketing and sales operations. The ideal candidate has a strong background in marketing and data strategy, with expertise in AI-driven data utilization to enhance efficiency and decision-making.

Skills Needed:

• Ensures a Customer Focus - Keeps our customer needs at the center; Tirelessly pushes for AI-First solutions to create customer value. Taps into market and customer insights to shape priorities and make decisions.

• Leverages AI & Business Insight - Leads with an AI-First mindset infusing technology into customer solutions and workflows. Harnesses the power of AI and data to cut through noise and inform decisions. Blends business savvy, financial acumen, industry knowledge, and tech expertise to set priorities.

• Optimizes Work Processes - Streamlines workflows by harnessing data, AI, and technology. Identifies opportunities for efficiency and incorporates new processes and technology. Defines new success measures.

• Makes Quality Decisions - Makes swift and sound decisions that propel objectives forward. Hunts for crucial qualitative and quantitative data. Balances thorough analysis with wisdom, experience, and judgment for informed decision-making.

• Champions Innovation - Propels teams to unlock value with cutting-edge, tech-enabled innovations. Stays ahead of the tech curve, ready to embrace the next big thing. Leads with an entrepreneurial mindset and takes calculated risks.

• Drives Accountability & Results - Sets clear goals and ensures team members deliver top-notch results. Uses data and tech to boost accountability, pushing everyone to excel individually and as a team.

What You'll Do and Impact:

• Optimize the management and use of customer data for segmentation, targeting, personalization, and engagement to drive growth across all solution groups

• Oversee customer data flows across key systems (CRM, marketing automation, data warehouses, analytics tools) to improve accessibility and usability for sales and marketing teams

• Enhance CRM data quality, structure, and integrations to deliver accurate, actionable insights that boost marketing and sales effectiveness

• Identify opportunities to leverage AI and emerging technologies-such as predictive analytics and content personalization-to improve customer interactions and campaign performance

• Collaborate with Data Science teams to deploy AI models and automation that enhance targeting precision and campaign optimization

• Implement AI-powered tools to streamline workflows, including lead qualification and campaign execution

• Serve as a strategic link between marketing, sales, engineering and data science teams, ensuring data initiatives align with business goals, timelines, and budgets

• Partner with analytics teams to define KPIs for customer engagement, marketing performance, and data utilization; ensure data accessibility for reporting, dashboards, and business intelligence tools to drive informed decision-making

Experience:

• 5-7 years of experience in data strategy, marketing data management, or data integration

• Hands-on experience with customer data platforms, CRM systems, and marketing automation tools

• Proficiency in AI and automation tools for data-driven marketing and sales optimization

• Strong understanding of data integration, ETL processes, and API automation for seamless data connectivity and pipeline development; partner with teams to execute

• Familiarity with SQL and Python/R (preferably Python) for data manipulation and analysis

Additional Items of Interest:

• Experience in healthcare and/or B2B organizations

• Familiarity with data visualization tools such as Power BI or Tableau