Senior Manager, Data & Analytics

🔥 8 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

📉 Data Analyst

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Amgen

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1980

🏥 Healthcare

🧬 Biotechnology

💊 Pharmaceuticals

💰 $28.5G Post-IPO Debt on 2022-12

Healthcare • Biotechnology • Pharmaceuticals

Amgen is a global leader in biotechnology, focusing on the development and commercialization of innovative medicines made from living cells. The company aims to treat serious illnesses, often targeting diseases with limited therapeutic options. Amgen emphasizes scientific innovation and is committed to ethical research, patient safety, and environmental sustainability. It actively engages in clinical trials and is known for its contributions to the fields of cancer treatment and obesity management among others.

📋 Description

• Serve as the business engagement and technical delivery lead for prioritized Enterprise Data Strategy & Engineering initiatives • Lead assigned initiatives from discovery through delivery, adoption, and value realization • Translate business priorities into scalable data, analytics, reporting, and AI-enabled solutions • Partner with Business Owners, platform, engineering, governance, architecture, Agile/PMO, and GCC Engineering teams • Define outcomes, shape roadmaps and delivery plans, manage dependencies, and deliver measurable business value • Lead discovery and translate priorities into product visions, value cases, roadmaps, backlogs, and success criteria • Communicate strategy, delivery progress, key decisions, and realized value to stakeholders • Identify, evaluate, and scale innovative data, analytics, and AI-enabled capabilities • Lead delivery of reusable, governed, discoverable, high-quality, scalable enterprise data products • Evaluate and apply agentic data-engineering capabilities where appropriate • Balance innovation with architecture, security, privacy, compliance, reliability, cost, and operational-support standards • Define and track adoption, operational, delivery, and business-value metrics • Lead post-launch adoption, support, enhancement prioritization, and lifecycle management • Promote reuse of platforms, shared data products, and engineering patterns

🎯 Requirements

• Doctorate degree and 2 years of experience in Data Engineering, Information Systems, Business, Engineering, Data & Analytics, or a related field, OR Master’s degree and 6 years of experience, OR Bachelor’s degree and 8 years of experience, OR Associate’s degree and 10 years of experience, OR High school diploma/GED and 12 years of experience • Minimum of 2 years’ experience directly managing people and/or leadership experience leading teams, projects, programs, or directing resource allocation • Experience delivering data, analytics, reporting, or digital solutions in the life sciences industry, working with large global teams • Experience leading cross-functional data and analytics initiatives from discovery through production delivery, adoption, and ongoing support • Experience delivering solutions using Databricks, AWS, Power BI, and related data, analytics, cloud, integration, or visualization technologies • Ability to translate business needs into product requirements, delivery plans, measurable outcomes, and production-ready solutions • Strong stakeholder-management, communication, facilitation, and decision-making skills • Sponsorship for this role is not guaranteed

🏖️ Benefits

• Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions • Group medical, dental and vision coverage • Life and disability insurance • Flexible spending accounts • Discretionary annual bonus program • Stock-based long-term incentives • Award-winning time-off plans • Flexible work models where possible • Career development opportunities • Work/life balance • Financial plans with opportunities to save towards retirement or other goals