What are the responsibilities and job description for the Engagement Lead position at ProcDNA?
About ProcDNA
ProcDNA 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 For
We 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 Responsibilities
ProcDNA 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 For
We 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 Responsibilities
- Assimilate data from various sources into a high-quality, reliable data repository, ensuring accuracy for data-driven decision-making.
- Implement solutions across various master data domains such as customer, product, Plan, Payer, and PBM, ensuring consistency and reliability of data.
- Manage data ingestion processes and master record creation.
- Oversee outbound data extracts and API integrations to maintain seamless data operations.
- Establish standards for data modeling to improve efficiency and consistency of data processes.
- Work with teams to identify emerging data patterns and translate business needs into detailed technical specifications.
- Establish data quality benchmarks and develop tools and processes to ensure data accuracy across systems.
- Implement ongoing checks to maintain data integrity.
- Collaborate with internal and external stakeholders to ensure data initiatives align with client objectives and operational goals.
- Lead client-facing interactions, providing subject matter expertise and gathering technical requirements for data-driven solutions.
- 6-10 years of experience in pharma technology consulting, with at least 6 years in the U.S.
- Strong expertise in data warehousing and MDM solutions, including hands-on experience with tools like Boomi, Semarchy, Incentius, Informatica, and Reltio.
- Proven experience in client interaction, requirements gathering, and stakeholder management.
- 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).
- Expertise in BI tools and leading the implementation of dashboards, especially with Tableau and Power BI.
- Strong knowledge of data governance and data quality management frameworks.
- Excellent communication and presentation skills, problem-solving mindset, and analytical abilities.
- Ability to quickly understand business processes and develop effective technical solutions.
