Technical Project Manager

Technical Project Manager

US, (Remote -East Coast)

Roles and Responsibilities:

• Own the full project lifecycle from initiation and planning through execution, validation, go-

live and closure.

• Define scope, objectives, deliverables, timelines, budgets and resource plans, and keep them

under active control.

• Manage cross-functional teams across IT, engineering, vendors, Quality Assurance, Regulatory Affairs and business stakeholders.

• Lead the delivery of AI, data platform and enterprise search products from discovery and proof of concept through to production rollout and adoption.

• Coordinate with data engineers, data scientists, ML engineers, search specialists and product

owners to deliver against a shared roadmap.

• Oversee data platform initiatives such as data lakes, lake houses, data warehouses, integration

pipelines and master data, making sure data quality and lineage are built in.

• Ensure AI and data products meet data privacy, security and responsible AI requirements (e.g.,GDPR, HIPAA, EU AI Act, FDA guidance on AI in drug development).

Driving Innovation, Empowering Insights

• Make sure all deliverables meet GxP requirements (GMP, GCP, GLP, GDP as applicable) and

internal quality standards.

• Translate complex technical and regulatory topics into clear business language for non-

specialist audiences.

• Drive continuous improvement in delivery methods, templates and lessons learned across the

PMO.

• Act as the main point of contact for project sponsors and senior stakeholders, providing clear,

regular status reporting.

• Champion release management practices within the Agile delivery teams such as TDD, BDD,

refactoring, value stream mapping, continuous delivery methodologies etc.

Key Skills to Succeed in This Role:

• 8+ years of project management experience, with a strong track record of delivering technical

projects (e.g., software, systems implementation, data or digital initiatives) and enterprise

level pharma projects.

• Substantial experience in the pharmaceutical, biotech or life sciences industry.

• Hands-on knowledge of GxP, computer system validation, 21 CFR Part 11, EU Annex 11 and

data integrity requirements.

• Working understanding of the regulatory landscape and health authority expectations (FDA,

EMA, ICH guidelines).

• Proven ability to manage budgets, multiple workstreams and distributed or global teams.

• Proven experience delivering AI/ML, data platform or enterprise search products, ideally in a

regulated environment.

• Sound understanding of the AI and data product lifecycle, including data preparation, model

development, evaluation, deployment (MLOps) and ongoing monitoring.

• Familiarity with modern data and AI technologies such as cloud data platforms (Azure, AWS,

GCP, Databricks, Snowflake), search technologies (Elasticsearch, Azure AI Search, vector

databases) and large language models.

• Proficiency with project tools such as MS Project, Jira, Confluence, Smartsheet or similar.