Agentic Workflows Analyst

Description

Position at WebMD

Medscape, a division of WebMD, develops and hosts physician portals and related mobile applications that make it easier for physicians and healthcare professionals to access clinical reference sources, stay abreast of the latest clinical information, learn about new treatment options, earn continuing medical education credits and communicate with peers.

WebMD is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law.

Your Role:

The Business Analyst (Agentic Workflows) functions as a key member of the Process Innovation team, serving as a subject matter expert in bridging traditional business requirements with advanced, automated agentic systems. You are an organized, detailed, and proactive communicator who excels in a deadline-driven environment. You will be responsible for translating complex business problems into automated, agent-based workflows that optimize campaign execution, data reconciliation, and operational efficiency.Your Responsibilities:

• Business Analysis: Evaluate complex business use cases and process bottlenecks to determine feasibility and design optimal agentic workflow solutions.

• Process Translation: Translate approved business requirements into granular functional specifications, prompt engineering guidelines, and logic flows for agent development.

• Workflow Design & Optimization: Design, architect, and manage intelligent, agent-based workflows to streamline end-to-end digital program implementation (data ingestion, program setup, and reporting).

• System Integration: Partner with technical teams to integrate autonomous agents into existing internal business systems, ensuring seamless data flow and operational continuity.

• Collaboration: Participate in cross-functional meetings, supporting functional capability discussions, and partnering with internal stakeholders to prioritize areas for future automation and enhancement.

• Documentation: Own the development and maintenance of internal documentation for agentic workflows, SOPs, and technical implementation guides.

To succeed in this role, you will need:

• Education: BA, BS, or equivalent relevant experience required.

• Experience: 4+ years of experience in business or technical analysis, with a strong focus on data-driven solutions or operations.

• Agentic/Automation Experience: Demonstrated experience designing, managing, or auditing automated, agentic, or LLM-based workflows. Ability to articulate logic flows and handle exception management within automated systems.

• Analytical Skills: Strong analytical capabilities; ability to troubleshoot unexpected campaign or workflow challenges using data-driven logic.

• Technical Proficiency: Strong command of Google Workspace and MS Office Suite (advanced Excel). Familiarity with backend data infrastructure or ad management systems (e.g., Vertica, DFP) is highly preferred.

• Communication: Excellent verbal and written communication skills with the ability to interact professionally across R&D, commercial, and client-facing teams.

• Industry Knowledge: Experience in pharmaceutical or healthcare industries strongly desired.

Salary range: $90,000 - $105,000

Bonus Eligible: This position is also eligible for a discretionary company bonus, based upon business results.

Benefits: Employees in this position are eligible to participate in the company sponsored benefit programs, including the following within the first 12 months of employment:

• Health Insurance (medical, dental, and vision coverage)
• Paid Time Off (including vacation, sick leave, and flexible holiday days)
• 401(k) Retirement Plan with employer matching
• Life and Disability Insurance
• Employee Assistance Program (EAP)
• Commuter and/or Transit Benefits (if applicable)

Eligibility for specific benefits may vary based on job classification, schedule (e.g., full-time vs. part-time), work location and length of employment.