SR Solutions Engineer, Data Analytics

Boehringer Ingelheim • Saint Joseph, MO

1d

About The Position

As an employee of Boehringer Ingelheim, the Senior Solutions Engineer, Data Analytics contributes to the discovery, development, and delivery of products to patients and customers. The role supports and contributes to Advanced Data Analytics software and data engineering services for global and regional reporting solutions, and builds proficiency in data warehousing and technical program data management to enable advanced analytics.

As directed, the incumbent supports, develops, and maintains tools, software, and AI solutions that enable statistical modeling, visualization, reporting, and interpretation of results. The role provides second-level support for global solutions, including troubleshooting and maintenance. It also contributes to Quality Risk Assurance-based data integrity and validation reports, applying business acumen to stakeholder interpretations and qualifications, and helps prepare analysis-ready data for statisticians and data scientists.

Requirements

• Bachelor's degree in computer science, data analytics, or a related field.
• Four years of experience in software development architecture and/or data management, gained as part of a bachelor's or master's program and/or in a relevant industry.
• Academic and demonstrated knowledge of C#, SQL, and JavaScript.
• Ability to perform tasks typically expected of a Solutions Engineer.
• Ability to convey analytical thinking, business acumen, and technical knowledge.
• Ability to work effectively as part of a team and manage projects from a data management perspective.
• Ability to determine appropriate database design, development, and configurations to deliver efficient architecture for advanced analytics.
• Demonstrated experience proactively identifying or detecting design issues and recommending solutions in global architectures and database design and implementations supporting global networks.
• Must be legally authorized to work in the United States without restriction.
• Must be willing to take a drug test and post-offer physical, if required.
• Must be at least 18 years of age.

Nice To Haves

• Expertise in data warehousing SQL programming is preferred.
• Knowledge of AVEVA PI, PI AF, ETL data warehouse design and implementation, Grafana, SIMCA, SIMCA-online, SAS JMP, Visual Studio, MS DB Management Studio, MongoDB, and PostgreSQL is recommended.
• Knowledge of mathematics and computer science theory and application of statistical methodologies related to process performance analytics and data sciences is preferred.

Responsibilities

• Execute data management and software configuration duties for pharmaceutical batch analytics.
• Maintain business acumen and data science knowledge to ensure the fit, form, and function of data science software.
• Collaborate with Global MSAT Data Analytics management, team members, and stakeholders to set and achieve project goals.
• Provide configuration support for process historians, ERP, LIMS, and Electronic Batch Systems across projects of varying complexity.
• Help conduct feasibility studies of commercial and open-source software technologies identified by team leadership to improve data science user experiences across sites and programs.
• Periodically review LAN, WAN, Edge servers in regional data centers, and software architectures in relation to data transfer rates; create data-flow latency summaries to support optimal user experiences.
• Participate in agile software and data management standards for advanced data science programs and product groups.
• Design, develop, and implement AI/ML and LLM-based solutions for business and operational use cases.
• Receive feedback from Global MSAT, strategic site stakeholders and leadership, IT Governance bodies, and Global Engineering, and adjust program management effectiveness accordingly.
• Communicate data management requirements and functionality related to Advanced Analytics outcomes to global stakeholders at all levels and locations.
• Develop industrial knowledge and proficiency through primary literature, trade forums, and user meetings.
• Recommend and apply emerging technologies to MSAT projects when they can enhance Global MSAT Data Analytics Product Groups profitably.
• Build effective partnerships with internal and external stakeholders and colleagues.
• Collaborate with international colleagues to promote international harmonization.
• Participate in internal or external working groups.
• Provide second-level support, troubleshooting, and maintenance for global solutions.
• Contribute to Quality Risk Assurance-based data integrity and validation reports and help provide analysis-ready data to statisticians and data scientists.

Benefits

• Competitive compensation and benefit programs
• Support for a healthy working environment, meaningful work, mobility, networking, and work-life balance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior