Data Automation 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 Data Automation Manager position, you’ll transform manual sales, marketing, CRM, and customer data processes into scalable, automated workflows that improve accuracy, reduce operational effort, and unlock actionable insights. You’ll design and implement AI-powered automation solutions using machine learning, intelligent APIs, and external data sources to enrich customer and prospect data, strengthen data governance, and improve the usability of information that supports demand generation, sales effectiveness, and business growth. This role requires a highly technical individual contributor with a strong AI-first mindset and a passion for solving complex data challenges with innovative, future-ready solutions.

Skills Needed:

• Provides Customer Value - Delivers cutting-edge, tech-driven solutions paired with outrageous customer service with an eye to profitability. Seizes opportunities that reward both the customer and DS, fostering robust customer relationships.

• Applies AI and Technology - Identifies opportunities to boost efficiency and add value using AI and tech. Embraces and applies digital innovations and tech solutions to build business. Eagerly learns and integrates new technologies where they matter most.

• 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.

• Delivers Results - Seizes new opportunities and tackles challenges head-on with urgency. Takes initiative and consistently hits goals. Zeroes in on key priorities for results. Drives progress through uncertainty and moves others to action.

What You’ll Do and Impact:

• Lead the design, development, and deployment of scalable data automation workflows that replace manual data quality, enrichment, and hygiene processes

• Partner with cross-functional teams (Data Engineering, CRM, Analytics, Marketing, Sales Operations) to identify data challenges and define automation requirements

• Collaborate with Data Engineering, Database, and Architecture teams to architect, develop, and deploy scalable automation, AI, and data quality solutions that support current business needs and future-state data capabilities

• Design and implement AI-powered solutions leveraging automation tools, APIs, and machine learning to improve data accuracy, consistency, deduplication, and completeness

• Build and maintain integrations with third-party data enrichment platforms (e.g., ZoomInfo, Clearbit) and AI-driven tools to continuously enhance enterprise data

• Apply generative AI and intelligent APIs to enable advanced data matching, classification, enrichment, and correction

• Establish monitoring, alerting, and feedback mechanisms to ensure automated data processes remain accurate, reliable, and scalable over time

• Collaborate with Database and Architecture teams to ensure alignment with enterprise data standards, governance, and security practices

• Define and track key performance metrics (e.g., data quality, efficiency gains, error reduction, ROI) to measure impact and drive continuous improvement

• Develop and scale self-service automation tools, frameworks, and best practices to enable broader adoption across teams

• Provide training, documentation, and ongoing support to Partners to maximize adoption and effectiveness of automated data solutions

Experience:

• 5–8+ years of experience in data quality, data automation, data operations, or related technical roles

• Strong hands-on experience with SQL and Python, or equivalent automation and scripting technologies

• Proven experience designing, building, and supporting automated, AI-driven workflows that improve data quality, efficiency, and reliability

• Experience building and maintaining integrations with APIs, web services, and external data sources

• Experience defining data quality metrics and operationalizing monitoring, observability, or alerting processes

• Proven ability to collaborate and influence cross-functional stakeholders across teams such as Analytics, Data Engineering,