Sr. Manager/ Associate Director - Pharma SME

Tiger Analytics; Boston; Híbrido; USD 150.000 - 190.000; Jornada completa

Descripción de la vacante

Tiger Analytics is seeking a Senior Pharmaceutical Data & Analytics SME to support the Cystic Fibrosis Sales & Performance team. You will serve as the functional expert across commercial data, Snowflake/lakehouse, and reporting while partnering with business and tech teams.

The role will evolve into leading a dedicated analytics pod. Boston-based preferred; remote candidates willing to travel will be considered.

Formación

• Requires 12+ years in Pharma/Life Sciences commercial data, analytics, or data engineering.
• Experience with sales performance, patient services, specialty care analytics, or related domains.
• Hands-on expertise with SQL, Snowflake, and cloud data platforms; strong data quality focus.

Responsabilidades

• Act as the SME for Cystic Fibrosis commercial data, sales performance, and reporting.
• Partner with stakeholders to define data requirements, KPIs, and reporting solutions.
• Support data validation, reconciliation, business rules, data quality, and metric definitions.
• Collaborate with data engineering on Snowflake/lakehouse architecture and reporting-ready data products.
• Guide offshore teams and help establish governance, documentation, and delivery processes for the analytics pod.

Conocimientos

Pharma/Life Sciences domain expertise

Stakeholder management

Team leadership

Cross-functional collaboration

Herramientas

SQL

Snowflake

Power BI

Tableau

Cloud data platforms

Data quality tooling

Descripción del empleo

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are seeking a senior Pharmaceutical Data & Analytics SME to support the Cystic Fibrosis Sales & Performance team. This role will serve as the functional expert across commercial data, Snowflake/lakehouse assets, reporting, and analytics while partnering closely with business and technology teams. The position will evolve into leading a dedicated analytics support pod

RESPONSIBILITIES:

• Act as the SME for Cystic Fibrosis commercial data, sales performance, and reporting.
• Partner with business stakeholders to define data requirements, KPIs, and reporting solutions.
• Support data validation, reconciliation, business rules, data quality, and metric definitions.
• Collaborate with data engineering teams on Snowflake/lakehouse architecture and reporting-ready data products.
• Guide offshore teams and help establish governance, documentation, and delivery processes for the future analytics pod.

• 12+ years in Pharma/Life Sciences commercial data, analytics, or data engineering.
• Strong experience with sales performance, patient services, speciality pharmacy, Veeva CRM, HCP/HCO, territory alignment, claims/prescription data, or related commercial domains.
• Hands-on expertise in SQL, Snowflake, cloud data platforms, and data quality/reconciliation.
• Strong stakeholder management and experience working with cross-functional business and technical teams.
• Experience in Rare Disease/Cystic Fibrosis, Patient Services, or Specialty Care analytics.
• Familiarity with Power BI, Tableau, semantic models, and data product operating models.
• Experience leading analytics support pods or distributed delivery teams.
• Boston-based preferred; remote candidates willing to travel will also be considered.

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.