Mango Sciences

Job Description: Senior Product Manager (AI & Real-World Evidence)

Location: Remote

Experience: 7+ Years

Domain: Healthcare, Oncology, Data Science

We are a mission-driven HealthTech organization dedicated to transforming global healthcare equity. By leveraging the power of Artificial Intelligence and high-fidelity Real-World Evidence (RWE), we bridge the gap between groundbreaking medical innovation and patient accessibility. Our platform specializes in underrepresented clinical datasets, particularly in the field of Oncology, to help life sciences companies, hospitals, and financial institutions deliver precision medicine to the billions of patients who need it most.

We don't just build software; we build solutions that make life-saving treatments affordable through innovative financing models and data-driven clinical insights.

The Role

We are seeking a visionary Senior Product Manager to drive the evolution of our core AI-powered analytics platform. In this role, you will sit at the unique intersection of Oncology, Data Science, and Financial Innovation. You will be responsible for leading the integration of diverse, granular clinical data—including Electronic Health Records (EHR) and RWE—into a scalable product suite that improves patient outcomes and affordability.

Your challenge will be to translate complex machine learning models into actionable, intuitive tools that clinicians and pharmaceutical partners can use to solve the world’s toughest healthcare challenges.

Key Responsibilities

• Product Strategy & Roadmap: Define and execute the roadmap for our AI analytics engine, ensuring alignment with our mission to expand access to precision medicine in emerging and established markets.
• Data Integration & Scaling: Lead the ingestion and harmonization of large-scale, heterogeneous datasets (EHR, genomic, and longitudinal patient records) to build a robust foundation for real-world insights.
• ML Translation: Work closely with our Data Science team to turn predictive models (e.g., survival analysis, treatment response) into user-facing products that drive clinical and commercial decision-making.
• Patient Access Innovation: Collaborate with cross-functional teams to design and scale "Value-Based" products, such as outcome-based drug warranties and bridge financing solutions for high-cost therapies like Immunotherapy and CAR-T.
• Stakeholder Management: Act as the bridge between technical teams (Engineering/DS) and external stakeholders (Pharma companies, Oncology clinics, and Payer networks) to ensure product-market fit.
• Compliance & Governance: Ensure all products adhere to global healthcare regulatory standards (HIPAA, GDPR, etc.) and maintain the highest levels of data privacy and ethical standards.
• Go-to-Market: Define key success metrics, monitor product performance, and iterate based on real-world feedback from healthcare providers and life science partners.

Qualifications

• Experience: 7+ years of product management experience, with at least 4 years specifically focused on healthcare data products, RWE, or clinical informatics.
• Domain Expertise: Deep understanding of the Oncology landscape and the nuances of EHR data, clinical trial recruitment, and the pharmaceutical drug development lifecycle.
• Technical Literacy: Proven ability to work with Data Scientists and Engineers. You should be comfortable discussing SQL, Python-based ML workflows, and cloud data architecture (Azure/AWS).
• Regulatory Knowledge: Familiarity with healthcare compliance, data privacy laws, and the evolving regulatory landscape for AI in medicine.
• Analytical Mindset: Strong competency in quantitative analysis; experience using data to tell a story and justify product decisions.
• Entrepreneurial Spirit: A "Do GREAT" attitude with the ability to thrive in a fast-paced, high-growth environment where you are often defining the path forward.

Preferred Skills

• Experience building financial technology products within a healthcare context (e.g., lending, insurance, or EMI-based healthcare financing).
• Familiarity with the OMOP Common Data Model or HL7 FHIR standards.
• Previous experience working with data from emerging markets or underrepresented patient populations.
• Advanced degree (MBA, MPH, or MS) in a quantitative or healthcare-related field.

The Mission: We are looking for a visionary Technical Leader to own our healthcare data ecosystem from the first byte to the final dashboard. You won't just be managing a platform; you’ll be the primary architect of a clinical data engine that powers life-changing analytics. If you are an expert in SQL and Python who thrives on solving the "puzzle" of healthcare interoperability (FHIR/HL7) while mentoring a high-performing team, this is your seat at the table.

What You’ll Own

• Architectural Sovereignty: Define the end-to-end blueprint for our data warehouse (staging, marts, and semantic layers). You choose the frameworks, set the coding standards, and decide how we handle complex dimensional modeling and SCDs.
• Engineering Excellence: Lead by example. You’ll write production-grade Python for ingestion frameworks and craft advanced, set-based SQL transformations that others use as gold-standard references.
• The Interoperability Bridge: Turn the chaos of EHR exports, REST APIs, and claims data into clean, FHIR-aligned governed datasets. You ensure our data speaks the language of modern healthcare.
• Technical Mentorship: Act as the "Engineer’s Engineer." You’ll run design reviews, champion CI/CD best practices, and build the runbooks that keep our small but mighty team efficient.
• Security by Design: Direct the implementation of HIPAA-compliant data flows, ensuring encryption, auditability, and access controls are baked into the architecture, not bolted on.

The Stack You’ll Command

• Languages: Expert-level SQL (CTE, Window Functions, Tuning) and Production Python.
• Databases: Deep polyglot experience across MSSQL, PostgreSQL, Oracle, and NoSQL (MongoDB/Elasticsearch).
• Orchestration: Advanced Apache Airflow (SLAs, retries, and complex DAGs).
• Ecosystem: GitHub for CI/CD, Tableau/PowerBI for semantic layers, and Unix/Linux for shell scripting.

Who You Are

• Experienced: You have 8–12+ years in data engineering, with a significant portion spent in a Lead or Architect capacity.
• Healthcare-Fluent: You understand the stakes of PHI. You’ve worked with FHIR/HL7 and know how to map clinical resources to analytical models.
• Performance-Obsessed: You don’t just make it work; you make it fast. You’re the person who uses EXPLAIN/ANALYZE to shave minutes off a query.
• Culture-Builder: You believe in documentation, observability (lineage/freshness), and "leaving the campground cleaner than you found it."

Bonus Points for:

• Privacy Pro: Experience with PII/PHI de-identification and privacy-by-design.
• Cloud Native: Deep familiarity with Azure, AWS, or GCP security and data services.
• Search Experts: Experience with near-real-time indexing via Elasticsearch.

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