Associate Director, Enterprise Information Architecture

Planet Pharma Group

California

Hybrid

USD 96,000 - 110,000

Full time

4 days ago

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Job summary

Planet Pharma is seeking an Associate Director, Enterprise Information Architecture to drive data architecture across Clinical Operations, Safety, Regulatory, and other domains. You will operationalize architecture standards, advance MDM/RDM, DQ, and governance, and partner with leadership to deliver trusted, governed data products for R&D and enterprise decision-making.

The role emphasizes strategic thinking, collaboration with global teams, and hands-on problem-solving in modern data platforms

Qualifications

Bachelor’s degree HARD Requirement
Experience in data architecture within biopharma or pharm industry
Architect/lead business analyst in relevant projects
Knowledge of Information science, architecture, and pharma PV
Databricks experience would be a huge plus
Life sciences company background with data analytics from pharma space
If not from life sciences, unlikely to be considered
Architect/Lead BA who understands clinical trials in database systems and data types in life sciences

Responsibilities

Scale the Enterprise Information Architecture framework, standards, and best practices.
Define and maintain enterprise data domains, subdomains, and canonical data models.
Ensure alignment of R&D data initiatives with enterprise architecture and governance standards.
Provide architectural leadership and execution support for key programs.
Translate business requirements into scalable and reusable data products.
Collaborate with business and IT stakeholders to design end-to-end data solutions.
Guide teams in adopting common data models, semantic layers, and architecture patterns.
Ensure Bronze, Silver, and Gold data layers within the platform.
Support creation and certification of trusted data products for enterprise use.
Create and review data models and enforce modeling standards.
Lead enterprise Semantic Modelling standard and framework for context engineering.

Skills

Data architecture

Biopharma domain

Lead business analyst

Information science

Architect role

PV knowledge

Databricks

Life sciences analytics

Data types LS

Education

Bachelor’s or Master’s in Information Science, Computer Science, Data Management, Life Sciences, or related field

Tools

Databricks

Job description

Pay 70-80/h depending on experience

Education requirements: Bachelor’s or Master’s degree in Information Science, Computer Science, Data Management, Life Sciences, or a related field.

Bachelor’s degree HARD Requirement

Looking for in candidates

Wants someone with any kind of data arch role in biopharma or pharm industry
Have played an architect or lead business/analyst role in those projects
NOT looking for a data engineer
Needs someone who knows the Information science and architect and deep pharma exp especially in PV
If worked on Databricks would be a huge plus
Worked in life sciences company; Data analytics coming from life sciences/pharma space
If NOT from life sciences space then most likely will NOT consider
Played a role of architect or Lead business analyst who understand Information science and understands what a clinical trial looks like in a database systems
Must be able to explain the different type of data in life sciences realm

???????Rockstar candidates would have everything mentioned plus below

Build semantic layer on top of everything else – would be perfect candidate!!
Deep pharma experience across clinical trial operations, regulatory and pharmacovigilance data.
Hands-on exp with Databricks and GxP, and has built ontology or semantic layer to support AI workflows.

Personality-wise/cultural – what would be best fit

Usually work with people who are bit flex in their approach – not very SOP-driven
Get into a lot of unstructured problem-solving situations, so flex is needed
Someone confident who can present ideas to wider audience and be flex to understand the perspective of the group presenting to
Read the room, understand what the needs are
Understanding the hierarchy and dynamics in the team
Interpersonal communications and soft-skills are very important in this kind of role
Be able to run few presentations/meetings independently

General Description

Are you passionate about enabling data-driven transformation in the life sciences industry? Join our Global Data Strategy and Solutions team to help scale the Enterprise Information Architecture capability. This role will partner closely with the Senior Director to translate strategic vision into execution, ensuring the delivery of trusted, governed, and scalable data products that support critical R&D and enterprise decision-making.

Associate Director, Enterprise Information Architecture will play a key role in shaping and executing data architecture initiatives across Clinical Operations, Safety, Regulatory, and other Enterprise domains. This position will focus on operationalizing architecture standards, supporting major data programs, and advancing Master Data Management (MDM), Reference Data Management (RDM), Data Quality (DQ), and governance initiatives.The ideal candidate will bring a strong blend of strategic thinking, technical expertise, and stakeholder engagement skills, with experience in modern data platforms and life sciences R&D processes.

Key Responsibilities

Support Enterprise Information Architecture Capability

Partner with the Senior Director to scale the Enterprise Information Architecture framework, standards, and best practices.
Assist in defining and maintaining enterprise data domains, subdomains, and canonical data models.
Ensure alignment of R&D data initiatives with enterprise architecture and governance standards.

Drive Execution of Strategic Data Initiatives

Provide architectural leadership and execution support for key programs
Translate business requirements into scalable and reusable data products.
Collaborate with business and IT stakeholders to design end-to-end data solutions supporting analytics and operational use cases.
Guide teams in adopting common data models, semantic layers, and architecture patterns.
Ensure consistent implementation of Bronze, Silver, and Gold data layers within the enterprise data platform.
Support the creation and certification of trusted data products for enterprise consumption.
Create and review data models and enforce data modelling standards.
Lead enterprise Semantic Modelling standard and develop a framework for context engineering.

Stakeholder Engagement & Cross-Functional Collaboration

Act as a bridge between strategic leadership and execution teams, ensuring alignment and effective delivery of initiatives.
Engage with business leaders across Clinical Operations, Safety, Regulatory, and Biometrics to understand and address data needs.
Collaborate with the Integration Center of Excellence (CoE) and enterprise architecture teams to promote standardized integration patterns.

Innovation & Future-Ready Data Ecosystem

Support the adoption of AI/ML and Generative AI by enabling high-quality, well-governed, and AI-ready data assets.
Contribute to the evolution of the enterprise data ecosystem through knowledge graphs, semantic models, and advanced analytics.
Identify opportunities to enhance data capabilities and drive continuous improvement.

Experience

8+ years of experience in data architecture, data management, or analytics within the life sciences or pharmaceutical industry.
Proven experience supporting enterprise-scale data and analytics initiatives.
Experience with Clinical Development and R&D data domains.

Technical Skills

Strong understanding of modern data architectures, including data lakehouse, data mesh, and medallion patterns.
Hands-on experience with Databricks and cloud platforms (Azure/AWS/GCP).
Familiarity with MDM/RDM platforms (e.g., Reltio) and data governance/catalog tools (e.g., Informatica, Collibra).
Knowledge of data quality frameworks, metadata management, and lineage.
Proficiency in SQL and data modeling techniques.
Understanding of GxP and regulatory requirements in the life sciences industry.

Leadership & Soft Skills