Senior Technology Analyst
3 days ago
We are a global consulting firm focused on delivering Commercial Analytics and Technology solutions to life science firms. Our team partners with clients to achieve their goals, leveraging a strong blend of design thinking, the latest technology, and a client-centric approach to drive lasting impact.
What We're Looking ForWe seek a Team Lead - Technology to join our team. The ideal candidate has a deep understanding of the pharmaceutical industry, expertise in various datasets, and experience working with complex data sets to drive business performance. They should be able to navigate risk, develop pragmatic strategies, and lead transformation projects, software modernizations, and cloud infrastructure migrations.
Key Responsibilities- Assess clients' workloads and technology landscape for Cloud suitability, develop business cases, and create Cloud adoption roadmaps.
- Drive self and team effort across all phases of a project lifecycle.
- Translate business requirements into technical terms and design, build, and manage technology solutions that solve business problems.
- Collaborate with global team members, ensuring seamless communication and task sharing.
- Manage a diverse team of skill sets, including programmers, cloud analysts, BI developers, reporting, and operations.
- Lead project deliverables, including business case development, solution vision and design, user requirements, solution mockups, prototypes, technical architecture, test cases, deployment plans, operations strategy, and planning.
- Make informed decisions on problem-solving, considering broader perspectives, technical nuances, and planning.
- Stay up-to-date with technology trends and develop expertise in emerging cloud technologies.
- Work as a member of the client team and/or ProcDNA project team.
- Minimum 2 years of consulting or client service delivery experience on Amazon Web Services, Google Cloud Platform, and/or Microsoft Azure.
- Certified AWS Solutions Architect – Professional (nice to have).
- Experience using SQL and Tableau.
- Certified AWS AI/ML Specialty (nice to have).
- DevOps on an AWS platform. Multi-cloud experience is a plus.
- Experience developing and deploying ETL solutions on AWS.
- Strong in Java, C##, Spark, PySpark, Unix shell/Perl scripting.
- Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog, etc.
- Multi-cloud experience a plus – Azure, AWS, Google.
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