Innovaccer

Healthcare data analytics platform.

Customer Engineering Manager

Engineering LeadershipConfirmed live in the last 24 hours

Full-timeNoida, Uttar Pradesh, IndiaNo salary listedIn-person

About the Job

Requirements

Experience delivering small, medium, and large data integration and data analytics projects.
At least 9 years of experience in ETL, data warehousing or data analytics, business intelligence, data visualization tools, and technical project management.
Experience working with cross-functional teams spanning IT, software engineering, and business domains.
Hands-on experience extracting data using SQL.
Familiarity with data ETL tools and creating mapping documents.
Basic experience with Python scripting.
Knowledge of the challenges and benefits of data extraction in on-premise and cloud deployments.

Responsibilities

Supervise and lead engineers and quality analysts.
Direct and coordinate data integrations, analytics, dashboards, maintenance operations, and quality assurance.
Work with engineering, analytics, infrastructure, and other engineering groups to define, design, and deliver solutions.
Own delivery plans and timelines in consultation with customers.
Own and drive technical deliverables and provide leadership to a group of engineers.
Negotiate features, enhancements, and new incoming tasks with internal and external stakeholders.

Desired Qualifications

Relevant experience in Agile methodology is a plus.
US healthcare experience is a strong plus.

4606-Customer Engineering Manager

Innovaccer Analytics · Noida, India · Full-time · Posted 2026-10-01

Workplace: on_site

Department: Engineering And Analytics

Description

We are looking for a Customer/Data Engineering Manager who will be largely responsible for leading and supervising a team of engineers as they develop, test, modify, and create solutions to technical problems. You are expected to understand the business requirements, partner products, services, and integrate the same with our platforms, products & features. You will be involved in building up infrastructure to help run businesses of our Enterprise customers more efficiently

A Day in the Life

Supervise and lead engineers and quality analysts
Direct and coordinate data integrations, analytics, dashboards, maintenance operations and quality assurance
Work closely with engineering, analytics, infrastructure teams and other engineering groups for defining, designing, and delivering solutions
Own delivery plan and timelines through consultation with customers
Own and drive technical deliverables and provide leadership to a group of engineers in an innovative and fast-paced environment
Negotiate features, enhancements and new incoming tasks with internal and external stakeholders

What You Need

Experience with delivering small, medium and large Data integration and Data analytics projects
9+ years of experience in ETL, Data Warehousing/Data Analytics, Business Intelligence, Data visualization tools along with technical project management experience
Experience working with cross-functional teams, from IT to software engineering to business domains
Hands-on experience in extracting data using SQL
Familiarity with data ETL tools , creating mapping documents
Basic experience with scripting (Python)
Knowledge of challenges and benefits of data extraction in In-Premise and Cloud deployments
Relevant experience in Agile Methodology is a plus
US Healthcare experience is a strong plus

Apply

Apply at Innovaccer Analytics

About the Company

Innovaccer

Healthcare data analytics platform.

Innovaccer provides a Health Cloud platform that connects, curates, and analyzes healthcare data to improve patient outcomes and reduce costs. The platform lets healthcare providers manage transitional care, lower 30-day readmissions, and expand primary care services, while giving pharmaceutical companies like Roche contextualized patient insights to lower development costs and risk. Revenue comes from clients paying for platform use. Unlike others, Innovaccer demonstrates value through measurable results (e.g., a CHESS $3 million value and a 23% reduction in 30-day readmissions) and earns high scores in independent analytics rankings (e.g., 94.9/100 in KLAS Data & Analytics Platforms with “A” across all six Customer Experience Pillars). The company's goal is to turn healthcare data into practical, scalable insights that improve clinical and financial outcomes for providers, life sciences partners, and patients.

Company size: 1,001-5,000
Company stage: Private
Total funding: $653.1M
Headquarters: San Francisco, CA
Founded: 2012

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