Tasks

? Provide leadership to design sessions with Stewards, Data Engineers, Engineering teams, Data Scientists, Product Managers, business and/or IT stakeholders, that result in design documentation and business metadata capture;

? Understand business capability needs and processes as they relate to IT solutions through partnering with Product Managers and business and functional IT stakeholders;

? Ability to identify gaps in requirements based on business subject matter domain expertise;

? Participates in data scraping, data curation and data compilation efforts. Ensures high quality of the data to end users. Ensures high quality of the inhouse data via data stewardship;

? Implement and utilize data solutions for data analysis and profiling using a variety of tools such as SQL,Postman, R or Python and following team?s established processes and methodologies;

? Lead discussions across business organizations, lines of business, countries/hubs to document business logic and sources of data;

? Lead Open Data efforts, making data FAIR (Findable, Accessible, Interoperable and Reusable) to strengthen Bayer Crop Science's effectiveness in carrying out its mission;

? Lead trainings and discussions to evangelize these frameworks and objectives - Governance, Data Quality, Data Wrangling and Best Practices;

? Lead multi-functional and multi-business stewardship network in which to evangelize these frameworks and objectives - Governance, Data Quality, Data Wrangling, and Best Practices;

? Assist Senior data stewards by sharing best practices in data stewardship management.

? Serve as point of contact for other stewardship resources;

? Collaborate with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts;

? Define data quality rules and implement automated monitoring, reporting, and remediation solutions;

? Influence the vision of Data Stewardship, advocate for stewardship teams, socialize the mission of data stewardship and mentor stewards to align with the mission;

? Set strategy for implementation of automated data quality monitoring based on engagement with stakeholders and technical partners;

? Utilize root cause analysis to identify trends and assess impact of data quality issues;

? Coordinate intake and resolution of data support tickets;

? Support data migration from legacy systems, data inserts and updates not supported by applications;

? Partnership with the Data Governance organization to ensure data is secured and access is being managed appropriately;

? Identification of gaps within existing processes and capable of creating new documentation templates to improve the existing processes and procedures;

? Creation of mapping documents and templates to improve existing manual processes;

? Exploratory data analysis, data cleaning & processing;

? Perform data discoveries to understand data formats, source systems, etc. and engage with business partners in this discovery process;

? Help answer questions from the end-users and coordinate with technical resources as needed;

? Build prototype sql and continuously engage with end consumers with enhancements.

? Ability to deliver detailed technical documentation;

? Experience in designing data catalogs, including data design, metadata structures, object relations, catalog population, etc.;

? Knowledge of data management best practices;

? Knowledge of business or data domain within a business unit;

Required Qualifications

? Bachelor's Degree in Computer Science, Engineering, Science, Agriculture or other related field;

? Demonstrated ability to deliver detailed technical documentation;

? Experience participating in the build and support of APIs using resource-based design principles;

? Applied experience with modern engineering technologies and data principles, for instance: Big Data Cloud Compute, NoSQL, etc.;

? Considered domain expert in providing insight and authority to working groups;

? Applied experience with agile development, continuous deployment, DevOps, and decision science;

? Experience mentoring and guiding activities of junior team members

? Data Warehousing experience ;

? Soft Skills - multiple organizational communication and influencing

? Process Improvement ? a new platform is being created and support is in question;

? Strong written and verbal communication skills;

? Comfortable balancing demands across multiple projects/initiatives;

? Time management skills.

Preferred Qualifications

? Bachelor's Degree in Computer Science, Engineering, Science, Agriculture or other related field.

? 9 years experience (or 7 years with Master?s Degree or 3 year with PhD)) in areas such as:

? Expert level experience in relevant business domain

? Experience querying SQL and/or NoSQL databases

? Experience managing data using APIs

? Experience manipulating data using scripting languages and/or data processing software (e.g. Python, R, Pipeline Pilot, ETL applications)

? Experience profiling data, summarizing and reporting data quality metrics

? Agriculture domain knowledge and/or Big Query experience