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Takeda Bengaluru hosts an Innovation Capability Center where you will work as a Salesforce Marketing Cloud and Data Cloud Analyst, shaping GENAI-driven solutions that impact patients, the workforce, and global operations.
You will collaborate to onboard and maximize platform adoption, develop GENAI use cases leveraging LLMs, SFMC, and Einstein, while advocating best practices and scalable AI capabilities within the team.
At Takeda, we are leading digital evolution and global transformation. By building innovative solutions and future-ready capabilities, we are meeting the need of patients, our people, and the planet.
Bengaluru, the city, which is India’s epicenter of Innovation, has been selected to be home to Takeda’s recently launched Innovation Capability Center. We invite you to join our digital transformation journey. In this role, you will have the opportunity to boost your skills and become the heart of an innovative engine that is contributing to global impact and improvement.
Takeda is committed to creating an inclusive and collaborative workplace, where individuals are recognized for their backgrounds and abilities they bring to our company. We are continuously improving our collaborators journey in Takeda, and we welcome applications from all qualified candidates. Here, you will feel welcomed, respected, and valued as an important contributor to our diverse team.
As a Salesforce Marketing Cloud and Data Cloud Analyst, you'll combine technical skills on Salesforce Marketing Cloud, Salesforce Data cloud, Agentforce(GENETIC AI) ,business acumen and development qualities to build solutions that enable transformative capabilities within Takeda. You will support the Platform Owner in onboarding and facilitating the effective utilization of these platforms. You will play a key role in developing and building GENAI use cases leveraging LLM(Open-AI, chatGpt4.0 etc), SFMC, Salesforce Data cloud, EINSTEIN and Agentforce
Act as the technical developer for GENAI commercial and Medical use cases
Clarification of technical details in backlog items and technical design and build of backlog items.
Set standards & best practices within capability, and encourage adherence to those.
Proactively address any risks & issues together with the team, and raise to program/portfolio oversight, as required
Ensure appropriate level of technical documentation.
Cross-pollination of applicable standards & practices between teams.
Discussion on business requirements with stakeholders.
Pro-active suggestions of new features or tools.
Alignment & communication with other service lines on overarching practices & approaches.
Ensure re-useability of features within business functions.
Educate service managers on the new upcoming features and capabilities.
Bachelor's degree in computer science or a related study, or equivalent experience
3+ years of relevant professional experience in using and managing machine learning models, large language models, Salesforce Marketing Cloud (SFMC) salesforce data cloud (SFDC) and Agentforce
Strong understanding of large language models, databricks, SFMC, Salesforce data cloud, Agentforce
Strong understanding of prompt engineering, NLP techniques, and Deep Learning models for accurate responses to user queries,
Experience in code deployment into AWS, Salesforce agentforce and utilized various AWS Services like Lambda, API Gateway, EC2, S3, DynamoDB, Sage maker etc.
Experience in Agile development using agile methods like Scrum and/or Kanban
Excellent oral and written communication skills, business acumen, and enterprise knowledge.
Strong experience in design or in implementing solutions or products and preferable experience in quality improvement.
Understand design thinking and can explain and convince stakeholders.