Product Manager - Data Engineering

Product Manager II - R&D Applications & Platforms

About Xebia

With over 20 years of experience, our global network of passionate technologists and pioneering craftsmen
deliver cutting-edge technology and game-changing consulting to companies on the brink of transformation.
Since 2001, we have grown from a Java company into a full-service digital consulting company with 5,500+
professionals working on a worldwide ambition.

We are organized in complementary service lines – teams with tremendous knowledge and experience within
particular fields, such as Agile, DevOps, Data and AI, Cloud, Software Technology, Functional Programming,
Intelligent Automation, and Microsoft.

We help the world's top 250+ companies and category leaders overcome digital challenges, embrace innovation,
adopt new technology, and implement new business models. In addition to high-quality consulting, we also
provide offshoring and nearshoring services.

For more details, please visit www.xebia.com

Position Overview

Location: Remote, UK/CAN/Central Europe/Poland preferred
Time Zone Availability: Must be available for UK/US East Coast business hours
Experience: 5+ Years of Product Management Experience

We are seeking a Product Manager II to support our life sciences R&D product team in delivering scientific
software applications and platform capabilities for a leading pharmaceutical company. This mid-level role
combines technical product management expertise with execution excellence to manage established
applications, support product transformation initiatives, and drive continuous discovery across R&D domains.

You will work at the intersection of life sciences and technology, managing products that serve researchers,
scientists, and engineers in drug discovery, computational biology, and data science. This role requires the
ability to absorb complex product knowledge, conduct thorough business analysis, and translate scientific
requirements into actionable product specifications.

As a Product Manager II, you'll manage existing products and ongoing projects (not greenfield startups),
requiring comprehensive knowledge transfer from incumbent teams and deep collaboration with business
stakeholders. You'll work within a hybrid delivery model aligned to the client's Product Development Lifecycle
(PDLC), participating in governance checkpoints while executing in agile sprints.

What You'll Do

Product Knowledge Transfer & Ownership

• Document existing product knowledge including use cases, usage metrics, business processes, and
  technical specifications
• Capture and document non-functional product knowledge and decision rationale
• Absorb context from incumbent teams through structured transition sessions and documentation deepdives
• Take ownership of established applications requiring ongoing enhancement and modernization
• Manage portfolios of 5-10 smaller established applications OR focused ownership of tactical product
  areas

Business Analysis & Requirements Development

• Analyze current product landscape, use cases, business processes, and customer needs
• Conduct user interviews with researchers, scientists, and R&D stakeholders
• Propose transformation strategies for existing legacy products
• Follow established PDLC processes to develop comprehensive product requirements
• Deliver Product Development Plans (PDPs) with clear acceptance criteria according to assigned priority
  and timeline

Product Development & Delivery

• Serve as product manager during all product development phases
• Create clear, testable user stories and maintain backlog hygiene in Jira
• Actively participate in sprint planning, stand-ups, retrospectives, and Agile ceremonies
• Collaborate with engineering teams to define technical feasibility and design approaches
• Manage backlog prioritization using Jira, Confluence, and Jira Product Discovery

Stakeholder Engagement

• Serve as primary point of contact for business requests for assigned products
• Map relevant stakeholders (influence, needs, communication frequency) and develop engagement
  strategies
• Execute stakeholder engagement strategies with agreed objectives
• Facilitate discovery workshops, requirements reviews, and user feedback sessions
• Build trusted relationships with R&D end-users and business owners

Technical Collaboration

• Work with application engineering, data platform, and infrastructure teams
• Understand product technical architecture, APIs, data flows, and integration points
• Navigate cloud technologies (GCP) and modern application development practices
• Monitor support channels and align requests with product strategy
• Collaborate on dependency management across multi-vendor teams

AI-Powered Product Management

• Leverage Gemini Pro and Atlassian AI for backlog prioritization and velocity forecasting
• Apply intelligent automation to requirements generation and documentation
• Participate in AI use case development with client teams
• Use GenAI tools for accelerated product documentation and analysis

Documentation & Knowledge Management

• Maintain comprehensive Confluence documentation for all assigned products
• Ensure runbook completeness for operational handoffs
• Integrate knowledge capture into daily workflows
• Create executive-ready materials for governance reviews and stakeholder presentations

Requirements

Essential Qualifications

Core Product Management Skills

• 5+ years of product management experience in technical or software product environments
• Strong business use case analysis capabilities
• Proven experience conducting user interviews and requirements gathering
• Excellent requirements documentation and user story writing skills
• Demonstrated stakeholder mapping and management abilities
• Working knowledge of software product development lifecycle
• Proven agile development experience with active participation in Scrum ceremonies
• Experienced user of Jira and Confluence

Technical Skills

• Working knowledge of cloud technologies (GCP experience highly valued)
• Understanding of APIs, data flows, and modern application architectures
• Ability to communicate effectively with engineering teams and translate technical concepts
• Familiarity with software development practices and technical terminology
• Basic understanding of data engineering concepts and database technologies

Communication & Collaboration

• Exceptional verbal and written communication skills
• Ability to bridge conversations between technical teams and business stakeholders
• Proven ability to work effectively across time zones (UK/US collaboration)
• Strong facilitation skills for workshops and discovery sessions

Recommended Qualifications

Life Sciences & Domain Expertise

• Experience in pharmaceutical or regulated industry environments
• Understanding of scientific research workflows in chemistry, biology, or omics domains
• Familiarity with scientific software applications and computational science tools
• Knowledge of GxP requirements and compliance in life sciences
• Understanding of scientific data types and research methodologies

Technical & Platform Knowledge

• Experience with high-performance computing (HPC) environments
• Familiarity with Google Cloud Platform services (BigQuery, Cloud Run, Workflows)
• Understanding of authentication systems (SSO, LDAP)
• Knowledge of zero-downtime deployment strategies
• Experience with scientific computing applications common in pharmaceutical environments
• Understanding of data movement challenges for large scientific datasets

Strategic Skills

• Experience supporting product transformation and modernization initiatives
• Background in managing external vendor relationships and integration points
• Understanding of portfolio rationalization and technical debt management
• Capability to support cost optimization analysis
• Experience with change management and user adoption strategies

Advanced Capabilities

• Certification in relevant cloud technologies (GCP, AWS, Azure)
• Experience with AI/ML platform capabilities
• Knowledge of data engineering tools (Spark, Airflow, dbt)
• Familiarity with bioinformatics or cheminformatics software vendors
• Background in data governance and metadata management

Key Performance Indicators (KPIs)

You will be evaluated quarterly through 360° reviews (starting at 3 months post-start) and objective business
metrics:

360° Review Criteria

• User/Stakeholder Management: Proactive engagement, conflict resolution, alignment with business
  needs
• Requirements Creation & Completeness: Clear, testable user stories; comprehensive Product
  Development Plans
• Understanding of Assigned Products: Product domain knowledge; roadmap contribution
• Jira Maintenance/Upkeep: Backlog hygiene, documentation quality, requirement traceability

Objective Business Metrics

• User satisfaction (NPS) and adoption rate for managed applications
• Requirements completeness and acceptance rate (minimal rework)
• Contribution to cycle time reduction for product delivery
• Documentation completeness and knowledge transfer effectiveness

Service Level Agreements (SLAs)

• Participate in bi-weekly sprint planning, retrospectives, and delivery reviews
• Maintain continuous backlog grooming and refinement via Jira/Confluence
• Attend daily stand-ups and provide regular status reporting
• Complete and current Confluence documentation for all products
• Timely risk identification and escalation through Program Managers
• Active participation in PDLC checkpoints as required

Why Join Us

• Meaningful Impact: Support cutting-edge R&D and scientific discovery at a leading pharmaceutical
  company
• Technical Growth: Work with modern cloud platforms, AI tools, and sophisticated technical products
• Domain Learning: Deep dive into life sciences, scientific computing, and pharmaceutical R&D
• Collaborative Environment: Partner with engineers, scientists, and product leaders across global teams
• Innovation Focus: Participate in AI-first workflows and co-develop intelligent automation use cases
• Career Development: Clear path to senior product management roles with expanded strategic scope
• Structured Support: Comprehensive onboarding, knowledge transfer, and continuous coaching

Our Commitment

• Partnership mindset: Deliver excellence first, then drive process improvements after earning trust
• Product-led culture: Curiosity, proactive communication, and transparent collaboration
• AI-native workflows: Embedding intelligent automation into PM practices from day one
• Continuous improvement: Innovation in PDLC optimization and efficiency gains

Equal Opportunity Employment

Xebia is committed to creating an inclusive and diverse environment and is proud to be an equal-opportunity
employer. All qualified applicants will receive consideration for employment without regard to race, color,
religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or
veteran status.

Xebia is committed to providing equal opportunity and reasonable accommodations to employees with
disabilities. Xebia complies with the Americans with Disabilities Act and all other applicable federal, state, and
local laws regarding disability discrimination and accommodation. Interested Candidates may reach out to
reasonableaccommodations@xebia.com for any assistance needed.

Please feel free to share your preferred pronouns with us during the application process. All persons hired will
be required to verify identity and eligibility to work in North America, and to complete any required
employment eligibility forms.