• Serve as a key operational partner to the Head of Compliance, Americas, helping drive execution of strategic priorities and key program initiatives. • Support the day-to-day operations and continuous improvement of the North America Compliance Program, ensuring alignment with OIG, DOJ, and industry expectations. • Manage and enhance compliance infrastructure, including policies, procedures, training records, risk assessments, monitoring plans, governance materials, and documentation repositories. • Coordinate compliance governance activities, including committee meetings, leadership reporting, and tracking of action items and remediation efforts. • Lead or support cross-functional projects, business initiatives, system implementations, and organizational changes to ensure appropriate compliance controls are embedded. • Identify opportunities to improve operational effectiveness, scalability, and consistency across compliance processes, systems, and tools. • Lead the development and maintenance of compliance dashboards, reporting, and analytics that provide meaningful insights into program effectiveness and emerging risks. • Analyze data from key business activities and compliance systems to identify trends, anomalies, and opportunities for proactive risk mitigation. • Support compliance monitoring, auditing, investigations, and risk assessments through data analysis and reporting. • Partner with Compliance leadership and cross-functional stakeholders to translate data into actionable recommendations and informed decision-making. • Continuously enhance analytics capabilities, monitoring methodologies, and reporting tools to support a modern, risk-based compliance program. • Support the execution of risk-based monitoring and auditing activities across commercial, medical, patient support, and other business functions. • Track remediation activities and help ensure timely resolution of identified compliance risks and control gaps.

• Lead the audit, cleanup, and architecture of the Operations data subset within our shared BigQuery warehouse. • Build and maintain dimensional models in dbt with testing, lineage, and version control. • Design and maintain the dashboards and metrics that give leadership real-time visibility into operational health. • Join operational data to GTM and financial data to answer key questions regarding service quality and costs. • Partner with the team on statistical process control, variance analysis, and root cause analytics. • Establish SQL, modeling, and analytics engineering standards that Strategic Operations scales on.

Role Description The mission of Bayer Crop Science is centered on developing agricultural solutions for a sustainable future that will include a global population projected to eclipse 9.6 billion by 2050. We approach agriculture holistically, looking across a broad range of solutions from using biotechnology and plant breeding to produce the best possible seeds, to advanced predictive and prescriptive analytics designed to select the best possible crop system for every acre. A Data Steward at Bayer has rich subject matter and domain expertise, diverse technical skills, and a passion for the quality, integrity, and usability of data. Data Stewards are: - Connectors - fostering vital relationships across a spectrum of roles and teams to ensure seamless flow and integrity of data. - Translators - bridging gaps between complex technical terms and business concepts. - Problem solvers - getting hands on with other teammates to perform data analysis, build data pipelines, improve data quality, and teach by example how to use our data and data platforms. What you will do is why you should join us. You will: - Be a critical senior member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets. - Work with other top-level talent solving a wide range of complex and unique challenges that have real world impact. - Pursue opportunities to present our work at relevant technical conferences. - Contribute your talent to relevant projects in an idea meritocracy. - Develop a deep understanding of our asset domain concepts, business processes, and data sources. - Share that understanding with Engineering teams, Data Scientists, Product Managers, and other stakeholders through discussions, presentations, and documentation. - Interact with our asset resources through multiple modes of access using standard tooling such as API clients, Postman, Python, SQL, and command line tools. - Answer questions through analysis of our datasets. - Lead and/or participate in design and support sessions across business organizations, lines of business, countries/hubs. - Communicate and align delivery dates, and integration efforts. - Advocate for, prioritize, and describe work in our Delivery Roadmap. - Partner closely with product owners, system analysts, and development teams to deliver data solutions aligned with an Agile roadmap. - Investigate and advocate for the inclusion of public, third party, and internal datasets. - Be accountable for data quality, governance, and usage of data. Qualifications - Minimum of a Bachelor’s Degree with 9+ years of relevant experience (or 7 years with Master’s Degree or 3 years with PhD) in areas such as technical business analysis and data analysis. - 5+ years of experience with data discovery and modeling to meet customer requirements. - Experience interacting with data-intensive APIs following common design patterns such as REST and resource-oriented principles. - Exceptional verbal and written technical communication skills toward facilitating the use of data and data services. - Ability to design and maintain efficient user feedback channels and documentation ranging from HTML/Markdown documents to Powerpoint presentations. - Ability to identify gaps in requirements based on knowledge of business subject matter domain. - Familiarity with source control management systems such as Git. Requirements - Experience in programming languages like Python. - Experience working with scientific datasets, or a background in the application of quantitative science to business problems. - Experience working within a life sciences R&D product development pipeline. - A demonstrated high degree of resourcefulness in navigating ambiguous situations via autonomous decision making. Benefits - Health care, vision, dental, retirement, PTO, sick leave, etc. - Salary between $114,400.00 - $171,600.00, with additional compensation that may include a bonus or commission.

• Use SQL and other analytical tools to conduct in-depth analysis of Mercury's customers, transactions, alerts, TM rules, risk ratings, and more • Use data-driven methods to improve, design, implement, and maintain Mercury's FCC models • Develop bespoke transaction monitoring rules and sanctions screening logic • Partner with Compliance, Product, and Data leaders to translate regulatory requirements into effective analytical frameworks • Know how to tell stories with data • Interpret analytics outputs to pinpoint which alerts, patterns, or anomalies signal genuine risk • Develop and maintain detailed documentation on the configuration of FCC models • Evaluate and tune existing detection models and rules to reduce false positives • Develop data-driven methods to identify new typologies, emerging risks, and evolving financial crime trends • Partner with Model Risk Management to support validation and performance monitoring of models