BioSpace
CDnA - Ad Tech Data Platform Engineering, Associate Director
BioSpace, Deerfield, Illinois, United States, 60063
Overview
CDnA - Data Science Associate Director role at BioSpace. This position is part of Amgen’s Data Science organization and leads our globally distributed BI operations team. The role focuses on driving global BI delivery excellence, data quality, and the integration of advanced analytics and AI technologies into our reporting ecosystem. Location: Thousand Oaks, CA or Deerfield, IL (on-site 2–3 days per week as needed). What You Will Do
Lead and mentor BI Engineering Leads and their teams based in Portugal and India, fostering engineering excellence, accountability, and inclusion. Drive team performance using KPIs, SLAs, and delivery standards aligned to enterprise goals. Ensure seamless collaboration between global engineering teams and US-based business stakeholders. Oversee the design, development, and maintenance of scalable and secure BI solutions across multiple business domains. Implement modern development operations, including version control, automated testing, CI/CD pipelines, and monitoring for BI assets. Collaborate with teams to embed machine learning and AI-generated insights into dashboards and reporting workflows. Champion the adoption of emerging technologies (e.g., generative AI, LLMs, vector databases, natural language querying) to improve data access, storytelling, and user experience. Stay current with innovation trends in analytics and integrate applicable tools and frameworks into the BI ecosystem. Translate BI priorities and business goals into actionable, agile delivery plans for offshore execution teams. Collaborate with Architecture, Platform Engineering, and Governance to ensure compliance, scalability, and technical alignment. Promote a product-oriented delivery model and agile methodology across offshore BI teams. Promote self-service BI through governed, business-friendly data models and semantic layers. Drive process improvements and tooling enhancements to maximize development efficiency and business impact. What We Expect Of You — Basic Qualifications
Doctorate degree and 3 years of data engineering, science and/or operations experience Or Masters degree and 5 years of data engineering, science and/or operations experience Or Bachelors degree and 7 years of data engineering, science and/or operations experience Or Associates degree and 12 years of data engineering, science and/or operations experience Or High school diploma / GED and 14 years of data engineering, science and/or operations experience Preferred Qualifications
8+ years of experience in data/BI engineering, data operations, or analytics delivery Extensive experience with SQL, Python and similar programming languages Understanding of best practices in data management, architecture and creating efficient data pipelines Demonstrated success in leading offshore or globally distributed technical teams Proficiency with BI platforms (Power BI, Tableau, Looker) and cloud-native data ecosystems (Snowflake, Databricks, Azure) Experience implementing DevOps practices for BI: version control, CI/CD, monitoring, automation Strong cross-functional communication and stakeholder engagement skills Exposure to AI/ML integration into BI solutions or operationalizing AI outputs Experience in biotechnology, pharmaceutical, or other regulated industry environments What You Can Expect Of Us
We support your professional and personal growth and well-being, with competitive benefits and a collaborative culture. The salary range is posted for the U.S. (excluding Puerto Rico) and will vary based on skills, experience, and qualifications. Amgen offers a Total Rewards Plan including health and welfare plans, retirement savings, stock-based incentives, time-off programs, and flexible work models where possible. A comprehensive benefits package (retirement and savings plan, medical/dental/vision, life and disability insurance, flexible spending accounts) Discretionary annual bonus program or field sales incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models, including remote and hybrid arrangements Apply now and help us transform lives. Application details Visit careers.amgen.com to apply. In any materials you submit, you may redact or remove age-identifying information. You will not be penalized for redacting or removing this information. Equal Opportunity Employer: Amgen will consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. Reasonable accommodations are provided for applicants with disabilities. Additional Information
Job postings may include multiple locations and salary ranges; location and compensation are determined by the company and may vary by role and experience. There is no fixed application deadline; applications are considered until the position is filled.
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CDnA - Data Science Associate Director role at BioSpace. This position is part of Amgen’s Data Science organization and leads our globally distributed BI operations team. The role focuses on driving global BI delivery excellence, data quality, and the integration of advanced analytics and AI technologies into our reporting ecosystem. Location: Thousand Oaks, CA or Deerfield, IL (on-site 2–3 days per week as needed). What You Will Do
Lead and mentor BI Engineering Leads and their teams based in Portugal and India, fostering engineering excellence, accountability, and inclusion. Drive team performance using KPIs, SLAs, and delivery standards aligned to enterprise goals. Ensure seamless collaboration between global engineering teams and US-based business stakeholders. Oversee the design, development, and maintenance of scalable and secure BI solutions across multiple business domains. Implement modern development operations, including version control, automated testing, CI/CD pipelines, and monitoring for BI assets. Collaborate with teams to embed machine learning and AI-generated insights into dashboards and reporting workflows. Champion the adoption of emerging technologies (e.g., generative AI, LLMs, vector databases, natural language querying) to improve data access, storytelling, and user experience. Stay current with innovation trends in analytics and integrate applicable tools and frameworks into the BI ecosystem. Translate BI priorities and business goals into actionable, agile delivery plans for offshore execution teams. Collaborate with Architecture, Platform Engineering, and Governance to ensure compliance, scalability, and technical alignment. Promote a product-oriented delivery model and agile methodology across offshore BI teams. Promote self-service BI through governed, business-friendly data models and semantic layers. Drive process improvements and tooling enhancements to maximize development efficiency and business impact. What We Expect Of You — Basic Qualifications
Doctorate degree and 3 years of data engineering, science and/or operations experience Or Masters degree and 5 years of data engineering, science and/or operations experience Or Bachelors degree and 7 years of data engineering, science and/or operations experience Or Associates degree and 12 years of data engineering, science and/or operations experience Or High school diploma / GED and 14 years of data engineering, science and/or operations experience Preferred Qualifications
8+ years of experience in data/BI engineering, data operations, or analytics delivery Extensive experience with SQL, Python and similar programming languages Understanding of best practices in data management, architecture and creating efficient data pipelines Demonstrated success in leading offshore or globally distributed technical teams Proficiency with BI platforms (Power BI, Tableau, Looker) and cloud-native data ecosystems (Snowflake, Databricks, Azure) Experience implementing DevOps practices for BI: version control, CI/CD, monitoring, automation Strong cross-functional communication and stakeholder engagement skills Exposure to AI/ML integration into BI solutions or operationalizing AI outputs Experience in biotechnology, pharmaceutical, or other regulated industry environments What You Can Expect Of Us
We support your professional and personal growth and well-being, with competitive benefits and a collaborative culture. The salary range is posted for the U.S. (excluding Puerto Rico) and will vary based on skills, experience, and qualifications. Amgen offers a Total Rewards Plan including health and welfare plans, retirement savings, stock-based incentives, time-off programs, and flexible work models where possible. A comprehensive benefits package (retirement and savings plan, medical/dental/vision, life and disability insurance, flexible spending accounts) Discretionary annual bonus program or field sales incentive plan Stock-based long-term incentives Award-winning time-off plans Flexible work models, including remote and hybrid arrangements Apply now and help us transform lives. Application details Visit careers.amgen.com to apply. In any materials you submit, you may redact or remove age-identifying information. You will not be penalized for redacting or removing this information. Equal Opportunity Employer: Amgen will consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. Reasonable accommodations are provided for applicants with disabilities. Additional Information
Job postings may include multiple locations and salary ranges; location and compensation are determined by the company and may vary by role and experience. There is no fixed application deadline; applications are considered until the position is filled.
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