Real-World Data - Account Lead

• Job Title: Account Lead / Manager (RWD & AI Practice)
• Location: Remote
• Employment Type: Full-Time
• Role Overview:
• We are seeking a seasoned Delivery Manager with a deep background in Real-World Data (RWD) and healthcare/life sciences analytics. In this role, you will act as the primary Single Point of Contact (SPOC) for client stakeholders, managing key account delivery while driving technical strategy. You will bridge the gap between business stakeholders and technical teams, providing hands-on leadership for AI and Data Analyst functions within the account.

Required Skills & Qualifications:

• Experience: 12+ years of total experience in IT/Tech delivery, with at least 5+ years focused on RWD, healthcare analytics, or life sciences data domains.
• Domain Expertise: Strong hands-on and strategic background in Real-World Data (RWD) management, curation, and analysis.
• Technical Acumen: Understanding of data architectures, cloud platforms (AWS, Azure, or GCP).
• AI & Data Science: Demonstrated ability to manage and provide technical direction for AI/ML solutions and Data Analyst workflows.
• Leadership: Proven track record of managing large cross-functional technical teams and running high-stakes enterprise accounts.
• Communication: Exceptional client-facing, negotiation, and executive-level communication skills.

Key Responsibilities:

• Account & Delivery Management: Own end-to-end technical delivery, project planning, resource allocation, and P&L for major enterprise accounts.
• Technical SPOC: Serve as the primary escalation point and technical authority for client leadership regarding RWD pipelines, AI initiatives, and data analytics.
• RWD Subject Matter Expertise: Leverage deep knowledge of Real-World Data (EHR/EMR claims, registries, clinical trials data) to shape data strategies and compliance frameworks (HIPAA, GDPR).
• AI & Analytics Leadership: Guide teams of data scientists and data analysts in building machine learning models, predictive analytics, and advanced data visualization solutions.
• Stakeholder Engagement: Build strong, trusted advisor relationships with client executives, translating complex technical concepts into business value.
• Cross-functional Collaboration: Coordinate with internal engineering, data engineering, and AI product teams to ensure high-quality, on-time delivery.

• We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.
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