Technical Project Manager

Hyrhub; United States; Presencial; USD 140.000 - 200.000; Jornada completa

Descripción de la vacante

Hyrhub is seeking an experienced Senior Project Manager to lead AI, data platform and enterprise search initiatives within regulated life sciences settings. You will drive cross-functional teams, manage budgets and ensure compliance with GxP, FDA/EMA guidelines, and data integrity standards.

You will coordinate with data engineers, scientists and product owners on roadmap execution, while championing Agile release management practices and ensuring timely, secure delivery of critical projects.

Formación

• 8+ years of project management experience in technical or regulated projects.
• Experience in pharma/biotech or life sciences.
• Hands-on knowledge of GxP, 21 CFR Part 11, EU Annex 11 and data integrity requirements.
• Familiar with FDA, EMA and ICH guidelines.
• Ability to manage budgets, multi-workstreams and global teams.
• Experience delivering AI/ML, data platform or enterprise search products in regulated settings.
• Understanding of AI and data product lifecycle (MLOps, deployment, monitoring).
• Knowledge of cloud data platforms and search technologies.
• Proficiency with project tools such as MS Project, Jira, Confluence, Smartsheet.

Responsabilidades

• Own full project lifecycle from initiation to closure in regulated environments.
• Define scope, objectives, timelines and budgets for AI/data projects.
• Lead cross-functional teams including IT, engineering and QA.
• Drive delivery of AI, data platform and enterprise search products to production.
• Coordinate with data engineers, data scientists and product owners on roadmap.
• Ensure data privacy, security and compliance (GxP, FDA/EMA).
• Champion release management practices in Agile delivery teams.
• Act as main contact for sponsors and senior stakeholders.

Conocimientos

Project management

Life sciences

GxP knowledge

Regulatory knowledge

Budget management

AI/ML delivery

AI lifecycle

Cloud data platforms

Data platforms

Elasticsearch

MS Project

Jira

Confluence

Smartsheet

Herramientas

Databricks

Snowflake

Azure

AWS

GCP

Vector databases

Descripción del empleo

Driving Innovation, Empowering Insights

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

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
• 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.