Product And Solutions Development Manager

Siemens Healthineers; Karnataka; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Siemens Healthineers is seeking a Senior Expert to architect AI and data platforms across medical software and cloud platforms. You will lead architectural initiatives for data lakes, warehouses, and lakehouses, and guide AI lifecycle integration with product teams.

Your role involves coordinating with R&D leadership and distributed teams to ensure scalable, secure, and compliant solutions that enable advanced analytics and generative AI across our digital health portfolio.

Qualifications

• 12+ years of software/product development experience with at least 6-8 years in enterprise-level technical strategy, data engineering, AI platform architecture, and cloud/digital-native solutions.
• Must have experience designing & developing digital and medical solutions in Invitro diagnostics.
• Deep expertise in enterprise data platforms including Data Lakes, Data Warehouses, and Lakehouse architectures.
• Hands-on with data pipelines, AI, ML, analytics and data platforms; familiarity with Spark, Kafka, Databricks, Snowflake, Delta Lake.
• Experience with data governance, lineage, metadata management, and data quality frameworks.
• Experience designing and deploying ML platforms and production AI systems with strong MLOps and lifecycle management.
• Experience integrating predictive analytics and machine learning into enterprise products.
• Strong understanding of Kubernetes, Containerization, CI/CD, Infrastructure as Code, and platform engineering.
• Experience in Agile/SAFe with distributed R&D teams.

Responsibilities

• Define the long-term AI and data platform roadmap for one or more product lines and digital solutions.
• Establish architecture standards, principles, and best practices and align AI and data initiatives with business objectives.
• Evaluate emerging technologies and recommend adoption strategies.
• Design enterprise-scale data platforms, including data lakes, data warehouses, and lakehouses.
• Define data ingestion, processing, storage and serving architectures.
• Ensure scalability, product security, performance, reliability and cost efficiency; drive cloud-native data platform adoption.
• Lead AI solution architectural initiatives from experimentation to production.
• Define the AI development lifecycle and provide expertise to product teams.
• Coach and mentor development teams, security champions, and architects across locations.
• Collaborate with digital functions, product management, and R&D leadership to align strategy and priorities.

Skills

AI Architecture

Data Platform

Cloud Native

MLOps

Kubernetes

CI/CD

Data Governance

Regulated Software

Stakeholder Mgmt

Distributed Teams

Education

Master's degree or higher

CS/IT/Electronics background

Tools

Spark

Kafka

Databricks

Snowflake

Delta Lake

Git

Terraform

Docker

Kubernetes

CI/CD Tools

Job description

About the role

As our portfolio shifts toward cloud-hosted, AI-enabled, and data-driven digital health solutions, Data management and AI must be engineered into every layer - from medical device software to multi-tenant cloud platforms and the data pipelines that connect them.

We are looking for a Senior Expert who unites three dimensions in one profile: digital product software (software development of regulated medical software and SaaS platforms), data platforms(managing sensitive health data end-to-end), and AI (include AI in our SaaS platforms and digital services). You will act as a trusted advisor to development teams, product management, and R&D leadership, and as the owner of the architecture for AI and data platforms, ensuring scalable, secure, reliable, and business-aligned solutions that enable advanced analytics, machine learning, generative AI, and data driven design making for our digital and cloud portfolio.

Your tasks and responsibilities

AI & Data Architecture Strategy

• Define the long-term AI and data platform roadmap for one or more product lines and digital solutions
• Establish architecture standards, principles, and best practices and align AI and data initiatives with business objectives.
• Evaluate emerging technologies and recommend adoption strategies

Data Platform Architecture

• Design enterprise-scale data platforms, include data lakes, data warehouses and lakehouses
• Define data ingestion, processing, storage and serving architectures
• Ensure scalability, product security, performance, reliability and cost efficiency and drive cloud-native data platform adoption.

AI/ML and Generative AI architecture

• Lead AI solution architectural initiatives from experimentation to production
• Define the AI development lifecycle and provide expertise to different product teams

Leadership & collaboration

• Coach and mentor development teams, security champions, and architects across locations, raising the security competence of the organization.
• Collaborate with digital functions across sites, product management, and R&D leadership up to business-line level to align strategy, standards, and investment priorities.

Your qualifications and experience

• Degree in Computer Science, Information Technology, Electronics, or a related field; a Master’s degree or equivalent advanced qualification is a plus.
• 12+ years of overall experience in software/product development, with at least 6-8 years across enterprise-wide technical strategy, data engineering, AI platform architecture, and cloud/digital- native solutions- preferably in medical devices, healthcare IT, or other regulated industries.
• Experience in designing & developing digital and medical solutions in Invitro diagnostics is a MUST
• Demonstrated hands-on experience with data pipelines, AI, machine learning, analytics and data platforms. Deep expertise in designing enterprise data platforms, including Data Lakes, Data Warehouses, and Lakehouse architectures.
• Hands-on experience with technologies such as Spark, Kafka, Databricks, Snowflake, Delta lake and related ecosystems. Experience with data governance, lineage, metadata management, and data quality frameworks.
• Experience designing and deploying machine learning platforms and production AI systems with strong understanding of MLOps and model lifecycle management.
• Experience integrating predictive analytics and machine learning into enterprise products
• Strong understanding of Kubernetes, Containerization, CI/CD, Infrastructure as Code, and platform engineering principles.
• Experience working in Agile/SAFe environments and collaborating with distributed, cross-functional R&D teams.

Your attributes and skills

• You combine deep technical expertise with the ability to communicate risk in business terms to senior stakeholders, including R&D and business leadership.
• You are a pragmatic, results-driven leader who can balance rigor with product delivery timelines.
• You have a passion for mentoring and building a digital-first engineering culture.