Data Steward for Crop Science IT
4 tygodni temu
At Bayer, we're driven to solve the world's toughest challenges and strive for a world where 'Health for all, Hunger for none' is no longer a dream, but a real possibility.
We're looking for a Data Steward in Crop Science IT division.
Why Bayer and Bayer Crop Science IT?
We're a company that's privileged to work on purposeful cutting-edge projects to bring our mission to life. Join us at the new Bayer Digital Hub in Warsaw to have a career that you can put your passion into practice and make an impact using Science for a better life.
In Bayer Crop Science IT, we deliver fantastic digital experiences for our farmer customers, our supply chain partners, and our scientist who run our world-class R&D pipeline of seeds, traits, crop protection products, & digital agriculture.
Key Responsibilities:
- 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 in Collibra and other systems as needed.
- Partner with Capability owners, GPOs, Regional Leads, Product Managers, Product Owners, and other Business & IT stakeholders to gain and document comprehensive insights into business capability needs and processes.
- Implement and utilize data solutions for profiling, data analysis, modeling, validation, cataloguing, quality assurance using a variety of tools such as Postman, R, Collibra, Python, etc., and follow industry best practice.
- Design and evangelize frameworks and objectives for: Governance, Adhering to External and Internal Compliance Needs, Metadata Management, Data Quality, and Data Management Best Practices.
- Lead in targeted Data efforts, to make data FAIR (Findable, Accessible, Interoperable and Reusable) to strengthen Bayer Crop Science's effectiveness in carrying out its mission.
- Lead multi-functional and multi-business stewardship network in which to evangelize these frameworks and objectives - Governance, Data Quality, Data Wrangling, and Best Practices.
- Collaborate with other data stewards and engineers within the team and across teams on aligning delivery dates and integration efforts.
- Develop roadmap over respective efforts in the domain and account for dependencies across other domains.
- Lead various cross-team meetings and events focused on design and planning, sharing the results of team efforts, or brainstorming on process improvements.
- Understanding, assisting and troubleshooting access management, ensuring retention, auditing standards, best practices and data governance policies and procedures are applied consistently and accurately.
- Providing support for business, platform and other asset teams pertaining to domain knowledge, asset data, governance, and end-to-end solutioning.
- Define data quality rules and implement automated monitoring, reporting, and remediation solutions.
- Set strategy for implementation of automated data quality monitoring based on engagement with stakeholders and technical partners.
- Lead root cause analysis to identify trends and assess impact of data quality issues.
- Define strategy and identify dependencies to support data migration from legacy systems, data inserts and updates not supported by applications.
Requirements:
- 9 years relevant experience/7yrs Master/3yrs PHD,
- Bachelor's or Advanced Degree in Computer Science, Biological Science, Business Administration, Finance, Data Science, Database Administration or equivalent,
- Manipulating data using scripting languages and/or data processing software (e.g., Python, R, ETL applications),
- Expert level - business domain (order to cash, plan, manufacturing),
- Querying SQL and/or NoSQL databases,
- Exposure and knowledge in related source systems architecture and design,
- Experience Building & supporting APIs, Warehousing, KAFKA, and other ETL tools,
- Experience with data process, internal applications, & scripting tools. AWS, REST, GraphQL, gRPC, KAFKA, Python,
- Profiling, summarizing & reporting data quality metrics,
- Deliver detailed technical documentation,
- Align programs/deliverables across organizations,
- Applied experience with agile development continuous deployment, DevOps, & decision science (e.g., AI, ML, etc.),
- Knowledge of modern data principles,
- Creation of strategic technical solutions and documentation to challenging business problems,
- Mentoring and guiding activities of junior team members and influencing across teams.
What We Offer:
- A flexible, hybrid work model
- Great workplace in a new modern office in Warsaw
- Career development, 360° Feedback & Mentoring programme
- Wide access to professional development tools, trainings, & conferences
- Company Bonus & Reward Structure
- VIP Medical Care Package (including Dental & Mental health)
- Holiday allowance ('Wczasy pod gruszą')
- Life & Travel Insurance
- Pension plan
- Co-financed sport card - FitProfit
- Meals Subsidy in Office
- Budget for Home Office Setup & Maintenance
- Access to Company Game Room equipped with table tennis, soccer table, Sony PlayStation 5 and Xbox Series X consoles setup with premium game passes, and massage chairs
- Tailored-made support in relocation to Warsaw when needed
- Please send your cv in English
Work Location: Warsaw
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