Senior Manager, Technology - Research Data and Analytics (RDNA)

Job Description

Roles & Responsibilities: Lead and handle diverse teams within a matrixed organization. Collaborate with geographically dispersed teams, including those in the US, EU, and other international locations. Provide technology delivery leadership and domain expertise for RDNA product teams and capabilities. Partner with Research and Technology leaders to create technology delivery strategy and prioritized agenda for RDNA. Ensure scientific data operations are scoped into building Research-wide Artificial Intelligence/Machine Learning capabilities. Provide leadership for the creation of functional analytics dashboards and fit-for-purposes applications for quantitative research, scientific analysis and business intelligence (via Spotfire, Tableau, Dash, Posit, Streamlit, RShiny, etc.). Manage a suite of custom internal platforms, commercial off-the-shelf (COTS) software, and systems integrations. Follow global standards and practices. Foster a culture of collaboration, innovation, and continuous improvement. Develop talent, motivate the team, delegate effectively, champion diversity within the team and act as a role model of servant leadership. Manage, grow, and develop the Amgen Technology team in India, ensuring global ways of working are embedded in the local organization. Understand the decision-making process, workflows, and business and information needs of business partners and collaborators. Work with Product Owners, Service Owners and/or delivery teams to ensure that delivery matches commitments, acting as a partner concern point and facilitating communication when service commitments are not met. Ensure communication of key performance metrics and analysis of unmet needs. Ensure ongoing alignment with strategy, compliance, and regulatory requirements for technology investments and services. Facilitate standard methodology sharing, ensuring ongoing alignment with the Technology & Digital strategy. Oversee operating budgets and product team budgets, ensuring regular review of actuals and latest estimates, managing according to agreed governance. Ensure alignment of Technology service plans across organization. Provide education to new partners with regards to Data and Analytics service offerings. Remain accountable for ensuring overall organizational compliance to quality/compliance requirements such as GXP and Privacy. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications: Masters degree and 8 to 10 years of Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Bachelors degree and 10 to 14 years of Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field, OR Diploma and 14 to 18 years of Life Sciences, Computer Science, IT, Computational Chemistry/Cheminformatics, Computational Biology/Bioinformatics or related field Familiarity with data analytics and scientific computing platforms such as Databricks, Dash, Streamlit, RShiny, Spotfire, Tableau and related programming languages like SQL, python, R Excellent problem-solving skills and a passion for tackling complex challenges in drug discovery with technology and data Demonstrated experience building strong teams with consistent practices in a matrix organization In-depth knowledge of Agile processes and principles for coordinated solutions and teams via SAFe Preferred Qualifications: Familiarity with advanced analytics, AI/ML and scientific computing infrastructure, such as High-Performance Compute (HPC) environments and clusters (e.g., SLURM, Kubernetes) 6+ years of experience in implementing and supporting biopharma scientific research data analytics. Experience in a leadership role within a pharmaceutical or technology organization Demonstrated expertise in a scientific domain area and related technology needs Understanding of scientific data strategy, data governance, data infrastructure Experience with cloud (e.g. AWS) and on-premise compute infrastructure Strong analytical/critical-thinking and decision-making abilities Ability to work effectively in a fast-paced, dynamic environment Experience in establishing business partnerships and IS governance practices involving senior business collaborators. Professional Certifications SAFe Agilist, Certified Agile Leader or similar (preferred) Soft Skills: Excellent leadership and team management skills Strong transformation and change management experience Exceptional collaboration and communication skills High degree of initiative and self-motivation Ability to manage multiple priorities successfully Team-oriented with a focus on achieving team goals Strong presentation and public speaking skills Ability to work effectively with global, virtual teams