SR Solutions Engineer, Data Analytics

Description

As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development, and delivery of our products to our patients and customers. Our global presence provides an opportunity for all employees to collaborate internationally, offering visibility and the opportunity to directly contribute to the company's success. We realize that our strength and competitive advantage lie with our people. We support our employees in several ways to foster a healthy working environment, meaningful work, mobility, networking, and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.

The Senior Solutions Engineer, Data Analytics will support and contribute to Advanced Data Analytics software and data engineering services for global and regional reporting solutions. This role will establish proficiency in Data Warehousing & technical program data management that enable advanced analytics. As directed, the incumbent contributes to global efforts by supporting, developing, and maintaining tools, software, and AI solutions key to enabling statistical modeling, visualization, reporting, and interpretation of results.

The Senior Solutions Engineer, Data Analytics will serve as second level support for global solutions-troubleshooting and maintenance. This role will contribute to the execution of Quality Risk Assurance based data integrity and validation reports with appropriate business acumen for stakeholder interpretations and qualifications. The incumbent will help provide analysis-ready data to statisticians and data scientists.

Duties & Responsibilities

• Execute the duties of data management and software configurations for pharmaceutical batch analytics.
• Maintain a general level of 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, and stakeholders, to set and achieve project goals.
• For projects of diverse complexity, provide configuration support for all process historians, ERP, LIMS, and Electronic Batch Systems.
• Help perform feasibility studies for commercial and open-source software technologies identified by team leadership with the intent of more effective and efficient data science user experiences across multiple sites and programs.
• Conduct periodic review of LAN, WAN, Edge servers in regional data centers and software architectures relative to data transfer rates and create data flow latency summarizations to ensure optimum user experiences for data scientists and local users.
• Participate in agile software and data management standards to support advanced data science programs and product groups.
• Design, develop, and implement AI/ML and LLM-based solutions to support business and operational use cases
• Receive feedback and adjust program management effectiveness from Global MSAT, Strategic site stakeholders and leadership, IT Governance bodies, and Global Engineering.
• Clearly communicate all aspects of data management requirements and functionality relative to Advanced Analytics outcomes to a diverse group of global stakeholders at all levels and locations of the organization.
• Establish proficiency and industrial knowledge through primary literature, trade forums, and user meetings.
• Recommend and apply new/emerging technologies to ongoing MSAT projects enhancing Global MSAT Data Analytics Product Groups when profitable.
• Cultivate sound partnerships with internal and external stakeholders and colleagues.
• Engage and collaborate with international colleagues to promote international harmonization.
• Participate in internal or external working groups.

Requirements

• Bachelor's degree in computer science, data analytics or related field required with four (4) years of experience in software development architecture and/or data management as part of bachelor's or master's program and/or within a relevant industry.
• Expertise in data warehousing SQL programming is preferred.
• Academic and Demonstrated Knowledge of C#, SQL, Javascript,
• Recommended software experience: AVEVA PI, PI AF, ETL Data Warehouse Design and Implementation, Grafana, SIMCA, SIMCA-online, SAS JMP, Visual Studio, MS DB Mgmnt Studio, MongoDB, PostgreSQL
• Knowledge of mathematics and computer science theory and application of statistical methodologies relative to process performance analytics and data sciences preferred.

Ability to:

• Perform tasks typically expected of a Solutions Engineer.
• Convey analytical thinking as well as business acumen and technical knowledge.
• Work effectively as part of a team and manage project(s) from a data management perspective
• Determine appropriate database design, development, and configurations to deliver efficient architectural approach for advanced analytics.
• Demonstrated experience proactively identifying/detecting design issues and recommending solutions in global architectures and database design and implementations supporting global networks.

Eligibility Requirements :

• 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 18 years of age or older.

Desired Skills, Experience and Abilities

JOB ID

39086

Job function

Manufacturing, operations & production

Career level

Experienced professionals

Organization

Boehringer Ingelheim Animal Health USA

Working time

Full-Time

Job flexibility

On-Site

Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment, which benefits our employees, patients, and communities. All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law