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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data engineering, AI/ML, and software development, with a strong focus on building and orchestrating intelligent agents and data products. Proven ability to lead projects, establish governance standards, and drive organizational adoption through effective communication and collaboration.
Highest-signal resume keywords
Data EngineeringAI/ML Solutions DevelopmentPython and SQL ExpertiseProject LeadershipGenerative AI Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data PipelinesData ModelingData QualitySemantic LayersMetadata ManagementVersion ControlCI/CD PracticesAutomated TestingEvaluation FrameworksKPI Definition
Soft Skills
Excellent CommunicationCollaborative LeadershipAttention to DetailStakeholder ManagementCoaching and Mentoring
Tools & Technologies
DatabricksDataverseMicrosoft Power PlatformGitHubCopilot StudioGemini/Vertex AIAI Coding Assistants
Industry Keywords
PharmaceuticalBiotechGxPRegulated EnvironmentsData Governance
Tech Stack
Tools & technologiesCloudCyber SecurityPythonSQL
About the role
Key responsibilities & impact- Shape and advance the agentic intelligence agenda for DSCS Digital Operations
- Identify where agents, data products, and automation create the greatest business value
- Translate priorities into a sequenced roadmap
- Own projects and programs through design, build, evaluation, deployment, adoption, and sustainment
- Exercise independent technical and business judgment on what to build, standardize, retire, or decline
- Translate complex business challenges into technical roadmaps, solution designs, agent architectures, evaluation frameworks, and measurable outcomes
- Establish engineering and governance standards, including version control, documentation, testing, reusable patterns, and release-readiness controls
- Lead teams and projects and coach talent across multiple technical areas
- Partner with business leaders to drive adoption and demonstrate value realization
- Direct the design, delivery, and lifecycle governance of intelligent agents and AI-enabled workflows
- Set direction for data pipelines, semantic layers, and reusable data products
- Oversee dashboards, applications, and workflow automations
- Define reference architectures and integration patterns and lead design reviews
- Align solutions to decision frameworks, KPIs, and adoption measures
- Establish evaluation and testing standards for agents, data, and reporting solutions
- Establish source control, code review, automated testing, CI/CD, and gated release promotion practices
- Set standards for design documents, runbooks, decision logs, and handover materials
- Own production sustainment, performance monitoring, issue triage, user support, and retirement or rework
- Partner with IT, cybersecurity, privacy, quality, and data product owners on security, compliance, and governance
- Mentor engineers and analysts and raise technical capability through coaching, code review, and shared learning
- Evaluate emerging models, platforms, and agentic patterns and recommend adoption, piloting, or deferral
Requirements
What you’ll need- 7+ years of experience in data engineering, software development, business intelligence, data science, AI/ML, or a related technical field, including demonstrated experience leading projects and/or teams
- Ph.D. with 4+ years, M.S. with 6+ years, or B.S. with 7+ years of relevant experience
- Hands-on expertise with Python and SQL
- Deep working knowledge of data pipelines, data modeling, data quality, semantic layers, metadata, lineage, and structured data products
- Experience with Databricks, Dataverse, cloud data platforms, or comparable enterprise data environments
- Demonstrated experience building and orchestrating Generative AI, Large Language Model, and agentic workflow solutions
- Experience with Copilot Studio, Gemini/Vertex AI, Microsoft Power Platform, retrieval-augmented generation, workflow orchestration, and responsible AI practices
- Strong command of GitHub or comparable source-control systems, including repositories, branching, pull requests, code review, version control, and CI/CD
- Hands-on experience using AI coding assistants and coding agents, such as GitHub Copilot, Claude Code, or Cursor
- Ability to prioritize and sequence work based on business value, risk, and feasibility
- Ability to define KPIs, adoption metrics, and value realization measures
- Ability to establish evaluation frameworks, define test strategies, identify failure modes, and validate data and answer quality
- Knowledge of secure and responsible AI deployment, including access control, privacy, auditability, human oversight, monitoring, and escalation
- Proven ability to lead projects and teams of moderate complexity with limited direction
- Excellent written and verbal communication
- Ability to translate complex technical concepts for audiences, manage senior stakeholders, facilitate working sessions, drive organizational adoption, and write concise technical documentation
- Collaborative leadership mindset and attention to detail
- Familiarity with pharmaceutical, biotech, GxP, or other regulated environments
- Bachelor’s degree in Computer Science, Data Science, Engineering, Information Technology, or a related field required; advanced degree preferred, or equivalent experience
- Ability to work in the United States or Switzerland; visa sponsorship is available
- Travel requirements: 10%
Benefits
Comp & perks- Annual bonus eligibility
- Long-term incentive eligibility, if applicable
- Medical healthcare insurance for employee and family
- Dental healthcare insurance for employee and family
- Vision healthcare insurance for employee and family
- Other insurance benefits for employee and family
- Retirement benefits, including 401(k)
- Paid holidays
- Vacation
- Compassionate days
- Sick days
- Hybrid work arrangements
- Visa sponsorship