Scrum Master – Data & Analytics (AI/ML Ops)
Company: CompassX Group
Location: Carlsbad
Posted on: April 1, 2026
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Job Description:
About Us: CompassX is a boutique business and technology
consulting firm. We help Fortune 500 and high-growth clients
deliver their most strategic initiatives, from enterprise
transformations to digital and data-driven projects. With over 15
years of proven results, we’ve expanded across industries including
financial services, pharmaceuticals, aerospace, consumer products,
and quick service restaurants. We are honored to be recognized as a
three-time winner of Consulting Magazine’s Best Boutique Firms to
Work For, and previously recognized as a “Best Place to Work” in
Southern California and one of INC.’s 5000 fastest-growing private
companies in the U.S. About the Role: Our client, a pioneering
biotechnology company, is seeking a dedicated Scrum Master – Data &
Analytics to enable high-performing Agile delivery with a specific
focus on implementing AI/ML Ops practices. This role is central to
the organization’s ambition to become a fully integrated biotech
company by delivering governed, reliable, and scalable AI/ML
solutions. You will serve as a "Player-Coach," partnering with
Product Owners, technical leads, and vendors to manage a portfolio
that includes data platforms, ML models, AI agents, and automation
workflows. This role requires onsite preserence in Carlsbad, CA 3
days a week (Tues-Thursday). Key Responsibilities: Agile Delivery &
Team Facilitation: Serve as the Scrum Master for one or more Data &
Analytics squads delivering use cases such as patient finding,
trial optimization, and AI-assisted authoring. Facilitate all core
Agile ceremonies (sprint planning, daily stand-ups, retrospectives)
ensuring they are purposeful and outcome-oriented. Remove delivery
impediments by coordinating across IT, security, and business
partners. AI/ML Ops Implementation: Drive the adoption of AI/ML Ops
practices, including version control, CI/CD for data and models,
automated testing, and monitoring. Partner with architecture leads
to align team practices with modern data platform patterns (e.g.,
Databricks Lakehouse, RAG, agentic automation). Ensure "Definition
of Done" includes operationalization requirements like
observability, lineage, and documentation rather than just the
initial build. Coaching & Continuous Improvement: Coach Product
Owners, Engineers, and Analysts on Agile principles, story writing,
and flow-based metrics (throughput, cycle time, WIP). Promote
consistent use of IT Product Centric Framework (ITPCF) patterns and
Jira standards. Foster a culture of psychological safety, turning
retrospective insights into concrete action items. Governance,
Compliance & Quality: Ensure delivery practices support regulatory
expectations (GxP/SOX) for data and AI in a life sciences context,
including validation and audit trails. Partner with Data Governance
and Security to embed required controls (policy-as-code) directly
into team workflows. Required Education & Experience: Bachelor’s
degree in Computer Science, Engineering, Information Systems, or a
related field (Advanced degree or certifications like CSM, PMI-ACP,
or SAFe preferred). 5–8 years in Agile delivery roles supporting
data, analytics, or software engineering teams. Hands-on experience
implementing DevOps or MLOps practices (CI/CD pipelines,
observability, incident response) for AI/ML workloads. Experience
in Life Sciences, Healthcare, or other regulated industries is
strongly preferred. Working knowledge of modern architectures
(Lakehouse, vector search, semantic layers) and tools such as
Databricks and Jira. Leadership Competencies: A track record of
enabling teams to self-organize and continuously improve. Ability
to simplify complex technical topics and align diverse stakeholders
(R&D, Clinical, Commercial) on priorities. A strong commitment
to the ethical, responsible, and compliant use of data and AI.
$145,000 - $175,000 a year We may use artificial intelligence (AI)
tools to support parts of the hiring process, such as reviewing
applications, analyzing resumes, or assessing responses. These
tools assist our recruitment team but do not replace human
judgment. Final hiring decisions are ultimately made by humans. If
you would like more information about how your data is processed,
please contact us.
Keywords: CompassX Group, Perris , Scrum Master – Data & Analytics (AI/ML Ops), IT / Software / Systems , Carlsbad, California
