Customer Data Readiness Ops Specialist

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. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.

Customer Data Readiness Ops Specialist 

Purpose:

The Customer Data Readiness Specialist is a hands-on operational role focused on preparing fragmented, eCommerce and consolidated customer data for reliable business use. The role’s primary accountability is to prepare and improve customer data so it can be reliably integrated, consolidated and used across business, analytical and AI-enabled capabilities. This includes hands-on data profiling, quality assessment, mapping, harmonization, documentation and source readiness.

The role prepares, structures and quality-assures customer data, while partnering with Data Engineering on technical implementation and with Customer Data Stewards on standards and governance. It works directly with source data to identify and resolve quality issues, align customer attributes and definitions, support matching and consolidation, and ensure that data is structured and documented for dependable downstream use.

By improving the quality, structure and documentation of customer data, the role enables reliable analytics, segmentation, customer intelligence, customer engagement and AI-enabled use cases.

Scope (global, regional or local):

Global

Key Responsibilities

• Prepare and maintain fragmented, eCommerce and consolidated customer data, ensuring it is complete, accurate, consistent and usable.


• Profile customer data to identify structural, completeness, consistency and quality issues, and translate findings into clear remediation requirements.


• Map and harmonize customer attributes, definitions, identifiers, hierarchies and classifications, and document the required transformation rules across local and enterprise sources.


• Perform and support customer matching, deduplication and consolidation activities that contribute to trusted and consolidated customer records while respecting legitimate local requirements.


• Apply and monitor customer data quality rules, investigate root causes and coordinate sustainable remediation with source owners and relevant teams.


• Onboard and validate new customer data sources, including fragmented local and eCommerce sources, by assessing structure, quality, mappings and readiness for integration and downstream use.


• Prepare customer data for analytics, segmentation, customer intelligence, customer engagement and AI-enabled use cases by ensuring it is trusted, structured and well documented.


• Maintain practical documentation covering customer data definitions, mappings, lineage, quality rules, source details and operational procedures.


• Support markets and Customer Data Stewards in applying agreed standards and improving local customer data readiness, while partnering with Data Engineering on technical implementation.


• Drive continuous improvement by simplifying recurring data-readiness and quality activities and using appropriate automation or AI tools where they add practical value.

Key Working Relationships

• Customer Data Domain Lead


• Customer Data Stewards


• Local / Regional I&A teams


• Data Engineering teams


• Data Science / Analytics teams


• CRM / Customer Engagement teams


• eCommerce teams


• Commercial / Sales teams


• Enterprise data-product teams


• IT / Architecture


• External customer-data providers


• I&A Home

Qualification & Competencies:

• Bachelor's degree in Business, Data Analytics, Information Management, Computer Science or a related field.


• 8-12 years of relevant experience in customer data, CRM data, master data, data quality, data operations, eCommerce data or related areas.


• Hands-on experience working with customer data from multiple systems and sources.


• Hands-on experience profiling customer data, identifying structural and quality issues, and translating findings into actionable remediation requirements.


• Experience with customer data quality, mapping, harmonization, matching and deduplication.


• Understanding of customer master-data concepts, customer hierarchies and trusted or consolidated customer records.


• Experience with CRM and/or eCommerce customer data.


• Strong analytical and problem-solving skills, including systematic investigation and resolution of data issues.


• Ability to translate between business meaning and data structure.


• Familiarity with SQL, advanced Excel and BI/data tools.


• Experience maintaining data definitions, mappings, quality rules and operational documentation.


• Understanding of how trusted, structured customer data supports analytics, segmentation, customer intelligence, customer engagement and AI-enabled use cases.


• Ability to use appropriate automation or AI tools to support profiling, validation, mapping and documentation.


• Strong stakeholder-management and communication skills, with the ability to work effectively across cultures and functions.


• Detail-oriented, proactive and comfortable working across markets and functions in a global, matrixed environment.


• Fluent English required; additional languages are a plus.