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Role Overview We are looking for an experienced Head of Data Operations to lead and scale our healthcare data operations function. This role is responsible for ensuring the quality, reliability, security, and efficiency of the healthcare data that powers our population health platform. This is a full-time hybrid role based in Bengaluru, combining in-office collaboration with remote work flexibility. Key Responsibilities Lead end-to-end healthcare data operations across clinical, claims, patient, and operational datasets. Ensure data quality, accuracy, availability, security, and compliance. Oversee data ingestion, transformation, validation, and delivery processes. Manage and optimize ETL workflows and data pipelines. Lead healthcare data integrations using standards such as HL7 and FHIR. Drive automation and operational efficiency using AI-enabled and DataOps tools. Monitor, troubleshoot, and resolve critical data issues impacting customers and business operations. Build, mentor, and lead a high-performing Data Operations team. Partner closely with Engineering, Product, Analytics, and Customer Success teams. Establish operational KPIs, SLAs, and performance metrics. Manage budgets, vendor relationships, and data platform investments. Provide leadership with actionable reporting, insights, and operational recommendations. Preferred Technology Hands-on experience with: Microsoft SQL Server ETL tools and frameworks Apache Airflow Data quality and monitoring solutions Data warehousing and reporting platforms Healthcare interoperability standards (HL7, FHIR) Python for automation, workflow optimization, data validation, operational monitoring, incident management, and process improvement. Qualifications Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or a related discipline, or equivalent practical experience. 10+ years of experience in Data Operations, Data Engineering, Database Operations, or related roles. Proven experience leading and scaling technical teams. Strong expertise in SQL Server, ETL processes, and workflow orchestration tools such as Airflow. Strong analytical, problem-solving, and decision-making skills. Excellent communication and stakeholder management abilities. Experience managing budgets, resources, and operational planning. Familiarity with healthcare data, EHR systems, claims processing, and interoperability standards (HL7/FHIR) is highly desirable. Experience in healthcare technology, healthcare services, or SaaS environments is preferred. What We're Looking For Strong ownership and accountability. A continuous improvement mindset. Ability to build scalable processes and high-performing teams. Customer-focused approach with a passion for quality and reliability. Interest in leveraging AI and automation to improve operational efficiency and healthcare outcomes. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.