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 400+ across 8 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 Sr 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 enjoying 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.
Key Responsibilities:
- End-to-End Data Management Solutions: Lead end-to-end data management solution projects for multiple clients across data engineering and BI technologies. Ensure the timely delivery of projects by creating project management plans and ensuring adherence to timelines.
- Data Integration and Visualization: Integrate multiple data sources into one comprehensive visualization to tell a compelling story. Collaborate with Data Platform leaders to understand data flows that integrate into Tableau/analytics.
- Client Interaction and Analytics Solutions: Interact with customers to understand their business problems and deliver best-in-class analytics solutions. Engage with UX/UI global functions to design best-in-class visualizations for customers using all product capabilities.
- Data Governance and Security: Understand data governance, quality, and security frameworks and ensure seamless integration of analytics with these enterprise platforms.
- Cross-Functional Collaboration: Collaborate with various internal teams to ensure seamless integration and alignment between technical solutions and business goals.
Must Have:
- 8-10 years of experience in pharma technology consulting, with at least 6 years in the U.S.
- Direct experience in client interactions, discussing requirements, and managing stakeholders.
- Proven experience in requirement gathering and designing enterprise data 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.
- Expertise in 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.
- Excellent problem-solving attitude with strong analytical and debugging skills.
- Ability to quickly learn and understand business processes to develop effective technical solutions.