Associate Director – Commercial Analytics, Pharma & Lifescience

Jobtailor; Boston (MA); On-site; USD 120,000 - 160,000; Full time

Job summary

Jobtailor is seeking a senior data analytics leader to work with Pharma and Lifesciences clients in Boston. You will translate business problems into analytics designs, drive client engagements, and scale pilots into transformative programs that deliver measurable business value.

Ideal candidates have 10–16 years in analytics, strong ML/statistical knowledge, and proven ability to manage large accounts and executive stakeholders.

Qualifications

• 10-16 years of professional work experience with at least 9 years in data analytics.
• Ability to engage with executive/VP level stakeholders from client’s team.
• Experience managing large accounts and growing account base.
• Solid understanding of statistical and machine learning algorithms.

Responsibilities

• Translate business problems into analytics solution designs for Pharma and Lifesciences.
• Lead client engagements, manage relationships, and drive account growth.
• Scale pilots/POCs into long-term transformative programs delivering value.

Skills

Data analytics

Stakeholder management

P&L management

Statistical ML

SQL

Python

R

Tableau

Qlik

Power BI

Cloud platforms

Hadoop

Education

MBA or equivalent

Tools

R

Python

Databricks

Qlik

Power BI

Tableau

SQL

Job description

Responsibilities

• Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain
• Work directly with client stakeholders to translate business problems into high-level analytics solution designs
• Knowledge of advanced analytics approaches and methodologies and best practices of leveraging data to drive informative decisions
• Proficiency in using advanced analytics to drive business value including ROI/value assessment, digital KPI tracking, campaign measurement, etc
• Responsible for account management, client relationships, and account growth
• Responsible for scaling pilots / POCs to a long-term transformative program and delivering continuous business value
• Experience leveraging complex data to drive business decisions
• Hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization
• Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo
• Experience working with all levels of management and consulting with key business stakeholders
• Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value
• Responsible for making presentations to senior management, communicating results to business teams, and develop plans to help operationalize analytics solution
• Explore opportunities with current and new buying centers and collaborate with internal Tiger SMEs to create the right POVs / proposals to help drive growth
• Responsible for P&L for your account portfolios managing revenue and margin goals

Requirements

• 10-16 years of professional work experience with at least 9 years in data analytics
• Ability to engage with executive/VP level stakeholders from client’s team to translate business problems to high level analytics solution approach
• Experience in managing large accounts and active involvement in account growth
• P&L ownership in the past would be an added advantage
• Solid understanding of statistical and machine learning algorithms
• Strong knowledge of Lifescience and Pharma domain
• Strong project management and team management skills and ability to work with global teams
• Strong SQL skills and hands‑on experience with analytic tools like R & Python & visualization tools like Qlik or Tableau
• Exposure to cloud platforms and big data systems such as Hadoop HDFS, Hive is a plus
• Ability to work with IT and Data Engineering teams to help embed analytic outputs in business processes
• Graduate in Business Analytics or MBA or equivalent work experience