Philips

2 days ago

IT Data & Analytics DevSecOps Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Own the Data, AI, and data-platform portfolio by acting as the primary business point of contact and leading end-to-end platform delivery. Design, build, test, deploy, and operate enterprise AI-enabled solutions while ensuring reliability, scalability, security, compliance, and cost optimization. Partner with architects and DevSecOps teams to deliver integrations, drive Agile/Lean/DevSecOps automation, and continuously improve platform performance and service quality for users.

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Act as the primary point of contact for Data, AI, and data platform-related business queries and initiatives.
•Lead the design, development, and implementation of AI solutions and enterprise applications with cross-functional teams.
•Manage end-to-end platform delivery: design, build, testing, deployment, and operational support within timelines, budgets, and resources.
•Ensure platform reliability, scalability, security, compliance, and cost optimization across the platform lifecycle.
•Drive adoption of Agile, Lean, DevSecOps, and automation best practices; monitor performance, identify optimization opportunities, and lead continuous improvement initiatives.

Key Requirements

•Bachelor’s or master’s degree in data engineering, Computer Science, Information Technology, or a related field.
•10+ years of experience in data engineering, Data & AI platform architecture, and digital transformation initiatives, preferably in healthcare.
•Expertise designing, developing, and maintaining scalable data pipelines, enterprise data platforms, and AI-enabled solutions.
•Hands-on experience with programming/scripting, database technologies, and data integration frameworks including ETL/ELT and big data technologies.
•Proven experience with CI/CD pipelines, infrastructure automation, deployment strategies, and DevSecOps best practices; strong security/governance/compliance knowledge.

Experience:10+ yearsHealthcareDigital transformationData engineeringAIDevSecOps

Education:

Skills:Strategic thinkingSystems thinkingProblem-solvingInnovationStakeholder management

Tech Stack:Microsoft AzureAmazon Web ServicesGoogle Cloud PlatformETL/ELTCI/CDDevSecOpsInfrastructure automationDeployment strategiesDatabase technologiesBig data

Company Brief

Philips

Global health technology company focusing on diagnostic imaging, patient monitoring, and consumer health products. Philips develops medical devices, healthcare informatics, and solutions to improve patient care and personal well-being.

Industry: HealthTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 1891

Glassdoor: 3.8

Website LinkedIn

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Philips

2 days ago

IT Data & Analytics DevSecOps Manager

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 21 hours agoStatus: Live

Job Summary

Location: Bengaluru

Workplace: Onsite

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Manager level

Key Responsibilities

•Act as the primary point of contact for Data, AI, and data platform-related business queries and initiatives.
•Lead the design, development, and implementation of AI solutions and enterprise applications with cross-functional teams.
•Manage end-to-end platform delivery: design, build, testing, deployment, and operational support within timelines, budgets, and resources.
•Ensure platform reliability, scalability, security, compliance, and cost optimization across the platform lifecycle.
•Drive adoption of Agile, Lean, DevSecOps, and automation best practices; monitor performance, identify optimization opportunities, and lead continuous improvement initiatives.

Key Requirements

•Bachelor’s or master’s degree in data engineering, Computer Science, Information Technology, or a related field.
•10+ years of experience in data engineering, Data & AI platform architecture, and digital transformation initiatives, preferably in healthcare.
•Expertise designing, developing, and maintaining scalable data pipelines, enterprise data platforms, and AI-enabled solutions.
•Hands-on experience with programming/scripting, database technologies, and data integration frameworks including ETL/ELT and big data technologies.
•Proven experience with CI/CD pipelines, infrastructure automation, deployment strategies, and DevSecOps best practices; strong security/governance/compliance knowledge.

Experience:10+ yearsHealthcareDigital transformationData engineeringAIDevSecOps

Education:

Skills:Strategic thinkingSystems thinkingProblem-solvingInnovationStakeholder management

Tech Stack:Microsoft AzureAmazon Web ServicesGoogle Cloud PlatformETL/ELTCI/CDDevSecOpsInfrastructure automationDeployment strategiesDatabase technologiesBig data

Company Brief

Philips

Industry: HealthTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 1891

Glassdoor: 3.8

Website LinkedIn