[SSF] Sr. Engagement Lead - Technology

About ProcDNA:
ProcDNA is a global rocket ship in life sciences consulting. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 275+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. Ready to join our epic growth journey?

What are we looking for
We are seeking a Senior Engagement Lead - Technology to join our team. You are someone with a strong understanding of the pharmaceutical industry, in-depth knowledge of datasets like LAAD, DDD, XPO, and enjoy working with complex data sets to help clients solve real-world problems. You will play a key role in driving business performance, navigating risks, and developing pragmatic strategies through data-driven insights.

What you will do

• Leading end-to-end data management solution projects for multiple clients across data engineering and BI technologies 
• Responsible for creating a project management plan and ensuring adherence to project timelines 
• Integrate multiple data sources into one visualization to tell a story 
• Interact with customers to understand their business problems and provide best-in-class analytics solutions 
• Interact with Data Platform leaders and understand data flows that integrate into Tableau/analytics 
• Understand data governance, quality and security and integrate analytics with these enterprise platforms 
• Interact with UX/UI global functions and design best in class visualization for customers harnessing all product capabilities 

Must have

• 8-10 years of experience in pharma technology consulting, with at least 6 years in the US. 
• Direct experience in client interactions, discussing requirements, and managing stakeholders. 
• Proven experience in requirement gathering and designing enterprise warehouse solutions from scratch. 
• Hands-on experience with ETL tools like Azure Data Factory (ADF), Databricks, and Informatica. 
• Familiarity with data pipeline and workflow management tools such as Azkaban, Luigi, or Airflow. 
• Experience with data storage solutions, including SQL/NoSQL, Amazon Redshift, Snowflake, Apache Hive, and HDFS. 
• Knowledge of BI tools and experience leading the implementation of dashboards, particularly with Tableau and Power BI. 
• Deep understanding of data governance and data quality management frameworks. 
• Strong communication and presentation skills. 
• A strong problem-solving attitude with excellent analytical and debugging skills. 
• Ability to quickly learn and comprehend business processes to effectively develop technical solutions.