# Staff Data Steward

**Company**: Bayer
**Experience**: staff
**Job type**: full-time
**Salary**: $114,400.00 - $171,600.00
**Category**: IT
**Industry**: Healthcare
**Wikidata**: https://www.wikidata.org/wiki/Q152051

**Apply**: https://talent.bayer.com/careers/job/562949977913474?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_11a51ec3-323

## Description

At Bayer we're visionaries, driven to solve the world's toughest challenges and striving for a world where 'Health for all Hunger for none' is no longer a dream, but a real possibility.

The Staff Data Steward will be a critical senior member of a data engineering team focused on creating distributed analysis capabilities around a large variety of datasets. You will work with other top-level talent solving a wide range of complex and unique challenges that have real-world impact.

Responsibilities:

- 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 work at relevant technical conferences;

- Contribute talent to relevant projects in an idea meritocracy;

- Develop a deep understanding of asset domain concepts, business processes, and data sources;

- Share understanding with Engineering teams, Data Scientists, Product Managers, and other stakeholders through discussions, presentations, and documentation;

- Interact with 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 datasets;

- Lead and/or participate in design and support sessions across business organisations, lines of business, countries/hubs;

- Communicate and align delivery dates, and integration efforts;

- Advocate for, prioritise, and describe work in the 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.

Requirements:

- 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 modelling 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;

Bonus points for:

- 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:

- Salary between $114,400.00 - $171,600.00;

- Additional compensation may include a bonus or commission (if relevant);

- Health care, vision, dental, retirement, PTO, sick leave, etc.

## Skills

### Required
- data analysis
- data discovery
- modelling
- API design
- technical communication
- Git

### Nice to have
- Python
- scientific datasets
- quantitative science
- life sciences R&D

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Source: [Apply at talent.bayer.com](https://talent.bayer.com/careers/job/562949977913474?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)