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Otsuka Pharmaceutical

Global pharma maker of Abilify

Data Quality and Metadata Lead

Data ManagementConfirmed live in the last 24 hours
Full-timePrinceton, NJ, USA

About the Job

Requirements

  • A minimum of 6 years of experience in Data Quality, Metadata Management, Data Governance, or a related discipline, including at least 2 years in a lead or senior individual-contributor capacity.
  • Deep working knowledge of data quality best practices and frameworks such as DAMA-DMBOK, DCAM, and ISO 8000, including profiling, rule authoring, monitoring, and remediation.
  • Hands-on experience with data quality tools and platforms such as Ataccama DQM, Informatica IDQ, Collibra DQ, Talend, or equivalent is required.
  • Expertise in metadata management covering business, technical, and operational metadata, with experience across structured and unstructured data.
  • Experience with enterprise data catalogues; Atlan is strongly preferred, and Collibra, Alation, and Informatica EDC are also relevant.
  • Understanding of data lineage concepts, tools, and implementation patterns across modern data ecosystems, including ELT, streaming, and APIs.
  • Working knowledge of cloud data platforms such as AWS, Azure, and Snowflake, and modern data stack tools such as Matillion and dbt.
  • Familiarity with pharmaceutical regulatory requirements, including GxP, 21 CFR Part 11, GDPR, and HIPAA, and their implications for data quality and metadata.
  • Understanding of AI/ML and generative AI data-readiness concepts, including data quality and metadata roles in RAG pipelines and LLM grounding.
  • Strong analytical and systematic problem-solving skills and stakeholder-management skills.
  • Ability to translate technical topics for diverse audiences and produce clear guidance and training materials.
  • Experience delivering initiatives using Agile and SDLC practices.
  • Experience working with globally distributed business and IT teams, including engagements with Japan, the EU, and India.
  • Ability to anticipate user needs and deliver practical, value-driven solutions; own technical deliverables and outcomes; challenge the status quo and champion new ideas; build partnerships across disciplines and cultures; demonstrate integrity and align with corporate values; and adapt to new challenges and shifting priorities.
  • Willingness to travel up to 10–15% based on business needs.
  • A required bachelor's degree in Information Science, Computer Science, Data Management, Engineering, or a related field.

Responsibilities

  • Define and maintain the enterprise data quality framework, including data-quality dimensions, scoring models, thresholds, and remediation practices.
  • Establish standards, guardrails, and reusable patterns for data profiling, rule definition, monitoring, and issue management across data domains.
  • Publish playbooks, templates, and reference implementations for data domain teams.
  • Evolve the data quality framework to reflect emerging best practices, regulatory requirements, and lessons learned from domain implementations.
  • Provide hands-on guidance, coaching, and training to Data Stewards, Data Owners, and Data Product Owners on data quality practices, tools, and metrics.
  • Support data domain teams in defining data quality rules, building dashboards, and interpreting results, especially during early adoption.
  • Establish a Data Quality Community of Practice to share knowledge, patterns, and lessons learned across domains.
  • Partner with domain teams to prioritize and resolve high-impact data quality issues and drive measurable improvement.
  • Define enterprise standards for business, technical, and operational metadata across structured and unstructured data.
  • Establish guidance for capturing and maintaining end-to-end data lineage, from source systems through pipelines, transformations, analytics, and AI consumption layers.
  • Define metadata-enrichment practices that support discovery, semantic understanding, and AI grounding in partnership with the Information Architect.
  • Ensure metadata practices support regulatory traceability, including GxP, 21 CFR Part 11, and GDPR, and audit readiness.
  • Partner with the Enterprise Data Catalogue Platform Owner to operationalize Atlan as the source of truth for metadata, lineage, and data assets.
  • Collaborate with data quality tool owners, including Ataccama DQM, to configure, extend, and adopt platforms for domain use cases.
  • Define integration patterns between the catalogue, data quality tools, MDM platforms, data pipelines, and analytics platforms to automate metadata capture and quality monitoring.
  • Contribute to platform roadmaps and requirements to meet the evolving needs of the Information Governance program.
  • Define and publish enterprise data quality and metadata KPIs, including coverage, quality scores, lineage completeness, and catalogue adoption.
  • Provide regular reporting to the Information Governance Lead and stakeholders on program progress, adoption, and business value.
  • Drive continuous improvement of practices, tools, and standards based on metrics, feedback, and industry trends.
  • Partner with the Associate Director, Information Architecture, to align metadata standards with taxonomies, ontologies, and semantic assets.
  • Collaborate with Data Stewards, Data Owners, and Data Product Owners as their primary IT partner for data quality and metadata topics.
  • Engage with Information Security, Legal, and Compliance to embed sensitivity, classification, and regulatory metadata into the framework.
  • Contribute to governance forums, councils, and cross-functional initiatives in support of the broader Information Governance program.

Desired Qualifications

  • Experience in the pharmaceutical, biotechnology, or life sciences industry, including knowledge of pharma data, data flows, and business processes.
  • Experience with Atlan; Collibra, Alation, and Informatica EDC are also relevant enterprise data catalogue platforms.
  • A master's degree in Data Management, Information Science, Health Informatics, or a related field.
  • CDMP (Certified Data Management Professional) certification from DAMA International.
  • DCAM (Data Management Capability Assessment Model) certification from the EDM Council.
  • Vendor-specific certifications in Atlan, Ataccama, Collibra, or Informatica.
  • Cloud data certifications in Snowflake, AWS, or Azure.
  • ITIL Foundation or comparable IT service management certification.
  • Six Sigma or process-improvement certifications.

About the Company

Otsuka Pharmaceutical

Global pharma maker of Abilify

Otsuka Pharmaceutical develops and markets medicines and health products worldwide, including prescription drugs and nutraceutical beverages. Its product lineup ranges from pharmaceutical treatments such as Abilify (an antipsychotic) to consumer health drinks like Pocari Sweat, which helps replenish electrolytes. Abilify works as a psychiatric medication used to treat conditions such as schizophrenia and bipolar disorder, while Pocari Sweat is an ion-replacement beverage designed to restore minerals and fluids after activity or heat. The company differentiates itself through a long history dating back to its founding in 1921, a broad, globally scaled portfolio spanning drugs and health beverages, and a focus on health improvements across populations. Its stated goal is to create new products for better health worldwide.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1921

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