What are the responsibilities and job description for the Sr Engagement Lead position at ProcDNA?
About Us:
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 150 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 we are looking for?
We are looking for a Senior Engagement Lead - Technology - to join our team. You are someone who has a good understanding of the pharmaceutical industry, has detailed knowledge of various datasets like LAAD, DDD, XPO, etc., enjoys working on complex data sets to help clients solve diverse real-world problems and drive business performance, navigate risk, and develop pragmatic strategies through data-driven insights.
What you'll 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.
