Data Automation Manager

Direct Supply • Milwaukee, WI

22h • Onsite

About The Position

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.

Requirements

• 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, CRM, Marketing, and Sales Operations

Nice To Haves

• Experience applying machine learning, generative AI, or advanced automation techniques within data workflows, including entity resolution, data enrichment, anomaly detection, or data correction
• Experience with modern data platforms such as Databricks, Snowflake, Azure Synapse, or similar cloud-based analytics environments
• Experience with data orchestration, transformation, and integration tools such as Apache Airflow, dbt, Fivetran, Power Automate, or similar technologies
• Experience working with third-party enrichment and data intelligence platforms such as ZoomInfo, Clearbit, Data Axle, or similar providers
• Experience in healthcare, senior living, or other data-intensive B2B environments
• Knowledge of workflow governance, auditing, compliance controls, and SLA-driven automation
• Experience creating training materials, operational documentation, and supporting adoption of new processes and technologies
• Certifications in data engineering, cloud platforms, automation technologies, artificial intelligence, or machine learning

Responsibilities

• 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

Benefits

• Generous benefit package available

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed