SR Solutions Engineer, Data Analytics

Boehringer Ingelheim • Saint Joseph, MI

5d

About The Position

The Senior Solutions Engineer, Data Analytics supports and contributes to advanced data analytics software and data engineering services for global and regional reporting solutions. The role establishes proficiency in data warehousing and technical program data management to enable advanced analytics, and supports, develops, and maintains tools, software, and AI solutions used for statistical modeling, visualization, reporting, and interpretation of results.

The position provides second-level support for global solutions, including troubleshooting and maintenance. It contributes to quality risk assurance-based data integrity and validation reports, with business acumen for stakeholder interpretation and qualification, and helps provide analysis-ready data to 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 within 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 for efficient architectures supporting advanced analytics.
• Demonstrated experience proactively identifying or detecting design issues and recommending solutions in global architectures and database designs 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.
• Experience with AVEVA PI, PI AF, ETL data warehouse design and implementation, Grafana, SIMCA, SIMCA-online, SAS JMP, Visual Studio, MS DB Management Studio, MongoDB, or PostgreSQL.
• Knowledge of mathematics and computer science theory and application of statistical methodologies relevant to process performance analytics and data sciences.

Responsibilities

• Execute data management duties and software configurations for pharmaceutical batch analytics.
• Maintain business acumen and data science knowledge to help ensure the fit, form, and function of data science software.
• Collaborate with Global MSAT Data Analytics management, team members, and stakeholders to establish 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 supporting 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 and adjust program management effectiveness based on input from Global MSAT, strategic site stakeholders and leadership, IT Governance bodies, and Global Engineering.
• Communicate data management requirements and functionality relevant to advanced analytics outcomes to global stakeholders at all organizational levels and locations.
• Build proficiency and industrial knowledge through primary literature, trade forums, and user meetings.
• Recommend and apply emerging technologies to ongoing MSAT projects when they can enhance Global MSAT Data Analytics Product Groups profitably.
• Build sound partnerships with internal and external stakeholders and colleagues.
• Collaborate with international colleagues to promote international harmonization.
• Participate in internal or external working groups.

Benefits

• Competitive compensation and benefit programs.
• Support for a healthy working environment, meaningful work, mobility, networking, and work-life balance.
• Opportunities to collaborate internationally, gain visibility, and directly contribute to company success.

What This Job Offers

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