Manager Commercial Engineering
Location
Mumbai | India
Job description
Role Responsibilities
Reporting to the Director Data Eco-System & Institution Engineering Lead, the Manager Commercial Engineering will be responsible for the delivery and all engineering of analytical and data related solutions to commercial business units and Global data and analytics program across the commercial business.
- Lead the technical design and implementation of multiple smaller or large complex Business Intelligence (BI), data management, reporting, artificial intelligence (AI) and advanced analytics projects, that maximize the value from data in answering business questions that accelerate the building of a healthier world and improve patient lives.
- Responsible for technical planning, data & architecture design, data modelling, technical implementation, solution development, and the communication of technical progress to key stakeholders.
- Collaborate within EDSE colleagues for successful design, implementation, and delivery of multiple projects.
- Working knowledge of advance analytic, data science, and AI techniques and, apply sensible data engineering principles to create interoperable and fit for purpose data products.
- Work with the business, Digital stakeholders, and partners/vendors to capture key requirements, translate them into projects in alignment using Pfizers approved standards & architecture and seek approval for projects following the standard governance processes. Where appropriate, conduct prototyping and innovation sessions.
- Work collaboratively with other Pfizer Digital teams for platform and infrastructure enablement, including platform/tool selections, architecture, estimation, and technical solution design.
- Work collaboratively with multiple teams to deliver viable Business Intelligence technical solutions through building relationships.
- Serve as the first technical escalation and resolution point for all engineering phases of assigned projects.
- Maintain solid customer engagement with key stakeholders, including business, enabling functions and Digital colleagues.
- Assist in the creation of thought leadership materials to drive BI innovation and technical roadmaps.
- Perform hands on development of BI solutions and manage solution design delivery from third party partners/vendors
- Partner with other enabling functions (e.g. Biopharma Operations teams) to advance BI capabilities in the market
Professional Experience and Educational Requirements
- Bachelors degree required, advanced degree preferred, with preference for degree holders with a focus in Computer Science, Information Systems, Engineering or equivalent project-related experience
- 5-7+ years of BI solution engineering experience in large organizations, engineering multiple smaller or large/complex projects
- 5+ years of related work experience in commercial data and analytics with business acumen and a proven track record of successfully delivering projects and outcomes
- Significant experience in engineering Business Intelligence (BI), data warehousing, reporting, big data, advanced analytics & Artificial Intelligence (AI) solutions in large organizations, both in traditional waterfall and agile approaches
- Experiences in working with advanced data platform technologies, such as SnowFlake, Neo4j, Amazon Neptune, etc.
- Advanced proficiency in SQL, Python, JS, or other contemporary programming languages.
- Experiences in data analytics automation and business process automation using AI, ML, low-code, no-code tools.
- Working knowledge of contextual data management capabilities in supporting context-aware/context driven analytics and AI models
- Must have strong technical skills, ideally from a hands-on engineering / IT background and ability to leverage this experience to define and deliver projects in an agile environment leading to faster, better, and cost-effective outcomes is a key differentiator
- Must be willing to wear many hats and demonstrate leadership; from project planning, to solution architecture, development, deployment, and resource allocation
- Expertise in deploying data management and BI solution using traditional data management and BI technology stacks (Informatica, Business Objects, Oracle, Tableau, Microsoft SQL, etc..)
- Expertise in cloud-based architectures, cloud analytics products / solutions, and agile methodologies to enable rapid cycles of development and release of analytics and data products / solutions
- Experience with technical solution management tools such as JIRA, Jenkin, Github
- Experience of management consultancy is preferable
- Experience in developing and socializing business cases with both technical and non-technical audiences
- Exceptional organizational skills, verbal & written communication in Japanese & English, along with interpersonal skills that allow for collaboration across a diverse group of people
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