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
