Engagement Lead

About ProcDNAProcDNA is a global consulting firm specializing in Commercial Analytics and Technology solutions for life science companies. We work closely with clients, using a combination of design thinking, advanced technology, and a client-centric approach to create lasting impact. Join us and be part of our exciting growth journey.What We Are Looking ForWe are seeking an Engagement Lead - MDM to join our team. You are an expert with a strong understanding of the pharmaceutical industry and experience with datasets like LAAD, DDD, and XPO. With your knowledge of complex data sets, you will help clients solve diverse real-world problems, drive business performance, navigate risks, and develop data-driven strategies.Key Responsibilities1) Assimilate data from various sources into a high-quality, reliable data repository, ensuring accuracy for data-driven decision-making.2) Implement solutions across various master data domains such as customer, product, Plan, Payer, and PBM, ensuring consistency and reliability of data.3) Manage data ingestion processes and master record creation.4) Oversee outbound data extracts and API integrations to maintain seamless data operations.5) Establish standards for data modeling to improve efficiency and consistency of data processes.6) Work with teams to identify emerging data patterns and translate business needs into detailed technical specifications.7) Establish data quality benchmarks and develop tools and processes to ensure data accuracy across systems.8) Implement ongoing checks to maintain data integrity.9) Collaborate with internal and external stakeholders to ensure data initiatives align with client objectives and operational goals.10) Lead client-facing interactions, providing subject matter expertise and gathering technical requirements for data-driven solutions.Must Have1) 6-10 years of experience in pharma technology consulting, with at least 6 years in the U.S.2) Strong expertise in data warehousing and MDM solutions, including hands-on experience with tools like Boomi, Semarchy, Incentius, Informatica, and Reltio.3) Proven experience in client interaction, requirements gathering, and stakeholder management.4) Deep background in data analytics, data modeling, and database design, with expertise in Oracle databases, AWS, and various data storage technologies (SQL/NoSQL, Amazon Redshift, Snowflake, Apache Hive, HDFS).5) Expertise in BI tools and leading the implementation of dashboards, especially with Tableau and Power BI.6) Strong knowledge of data governance and data quality management frameworks.7) Excellent communication and presentation skills, problem-solving mindset, and analytical abilities.8) Ability to quickly understand business processes and develop effective technical solutions.

Created: 2025-02-19