Senior Manager, Data & Analytics

Accountabilities:

• Lead discovery sessions with business owners and translate priorities into product visions, value cases, roadmaps, backlogs, and measurable success criteria.

• Maintain alignment across stakeholders on priorities, scope, investment, sequencing, risks, dependencies, and delivery trade-offs.

• Communicate strategy, delivery progress, key decisions, risks, and realized business value to technical and business audiences.

• Lead cross-functional data and analytics initiatives from discovery through solution design, development, testing, production release, adoption, and ongoing support.

• Identify, evaluate, and scale innovative data, analytics, reporting, and AI-enabled capabilities that improve decision-making, productivity, automation, and business outcomes.

• Lead the delivery of reusable enterprise data products that provide governed, discoverable, high-quality, and scalable access to data.

• Partner with engineering teams to evaluate and apply agentic data-engineering capabilities, including automated pipeline development, data-quality monitoring, metadata generation, observability, and issue resolution.

• Balance innovation with enterprise requirements for architecture, security, privacy, compliance, reliability, cost management, and operational support.

• Define and monitor adoption, operational, delivery, and business-value metrics for assigned initiatives.

• Lead post-launch adoption, support, enhancement prioritization, and lifecycle management.

• Promote reuse of enterprise platforms, shared data products, APIs, semantic models, and engineering patterns to enable scalable delivery.

• Coordinate across business, engineering, architecture, governance, and program-management stakeholders to resolve dependencies and drive decisions to completion.

• Support continuous improvement through Agile delivery practices, prioritization, roadmap management, and effective resource allocation.

Requirements:

• Doctorate degree plus 2 years of relevant experience; or Master’s degree plus 6 years; or Bachelor’s degree plus 8 years; or Associate’s degree plus 10 years; or high school diploma/GED plus 12 years of experience in Data Engineering, Information Systems, Business, Engineering, Data & Analytics, or a related field.

• At least 2 years of direct people management and/or leadership experience managing teams, projects, programs, or resource allocation; this experience may overlap with the required technical experience.

• Demonstrated experience delivering data, analytics, reporting, or digital solutions within the life sciences industry and working with large, globally distributed teams.

• Proven experience leading cross-functional data and analytics initiatives from discovery through production delivery, adoption, and ongoing support.

• Hands-on experience delivering solutions using Databricks, AWS, Power BI, and related data, analytics, cloud, integration, or visualization technologies.

• Ability to translate business requirements into product specifications, delivery plans, measurable outcomes, and production-ready solutions.

• Strong stakeholder management, communication, facilitation, and decision-making capabilities.

• Experience leading enterprise-scale data, analytics, reporting, AI, or digital-product initiatives within complex, matrixed organizations is preferred.

• Experience with Agile or scaled Agile methodologies, including product roadmaps, backlog management, PI planning, release planning, and continuous improvement.

• Experience developing reusable enterprise data products such as governed datasets, data pipelines, semantic models, APIs, or analytics solutions.

• Familiarity with AI-enabled or agentic data-engineering capabilities, including intelligent pipeline automation, data-quality remediation, metadata generation, observability, and AI-assisted engineering workflows.

• Knowledge of GxP, data validation, data governance, privacy, security, and regulatory expectations applicable to life sciences data and analytics is preferred.

• Strong ability to manage competing priorities, navigate ambiguity, evaluate trade-offs, and drive decisions through completion.

• Strong strategic thinking, technical curiosity, business acumen, and ability to operate effectively across technical and non-technical environments.

Benefits:

• Full-time, remote position within the United States.

• Comprehensive employee benefits package, subject to eligibility.

• Retirement and savings plan with company contributions.

• Medical, dental, and vision coverage.

• Life and disability insurance.

• Flexible spending account options.

• Discretionary annual bonus program.

• Stock-based long-term incentives.

• Award-winning paid time-off programs.

• Flexible work models where applicable.

• Career development and professional growth opportunities.

• Collaborative, science-driven, and innovation-focused working environment.

• Support for work-life balance and employee well-being.

• Reasonable accommodations throughout the application and interview process.

• Sponsorship may be available depending on circumstances and is not guaranteed.