Senior Manager - Data Engineering in Digital Health

Digital Health Senior Manager, Data Engineering

Position Summary:

As Digital Health Data Engineering Manager, you will be the responsible for managing a data engineering team to develop and operationalize the suite of high-quality data pipelines, data products and analytics platform services within Digital Health. You will collaborate closely with data architects, product managers, and the Data Science team in an agile environment. We are a fast-growing team, which will give you the opportunity to shape our ways of working and culture - think start-up, but inside a global leader in eye care. We are looking for someone who is a strategic thinker and problem solver.

Job Description

Key Responsibilities

Design, develop and operationalization of a reusable and modular data & analytics platform building upon Alcon’s enterprise IT architecture that enables efficient, consistent, automated value generation from data.

Partner with data architects to develop technical architectures for the data and analytic products​.

Build, manage, and mentor a team of high-performing data engineers.

Advise, consult, mentor and coach other data and analytic professionals on data standards and best practices for data governance, data management, and data quality assurance for Digital Health.

Participate in Backlog grooming, Spring Planning and effort estimation.

Perform data modeling, data analysis and providing insights using various tools.

Evaluate, implement and deploy emerging tools and process for data engineering and analytics improve the productivity.  

Foster a culture of creativity, collaboration, speed, innovation, and engineering excellence.  

Manage relationships with third-party technology vendors and data providers to ensure data quality, accuracy, and security.

Key Requirements/Qualifications

Minimum Qualifications

Bachelor’s degree in computer science, data science, or a related technical discipline.

Over 3 years of leadership experience in data and software engineering, demonstrating a proven track record of successfully leading data engineering teams in an Agile/Scrum environment throughout the Software Development Life Cycle (SDLC)

5+ years of hands-on experience in developing data-intensive solutions on AWS for analytics workloads​.

3+ years of experience in designing both ETL/ELT for batch processing and data streaming architectures for real-time or near real-time data ingestion and processing.

3+ years of hands-on experience in two or more database technologies (e.g., PostgreSQL, MongoDB) and data warehouses (e.g., Redshift), as well as cloud-based data engineering technologies (e.g., Kafka, PubSub, Apache Airflow, Glue)

5+ years of experience in programming in python, scala or javaProficient in Dashboard/BI and Data visualization tools (eg. Tableau, Quicksight)

Experience in data privacy and data security-related regulatory requirements, such as HIPAA, GDPR, CCPA, FDA cybersecurity for medical devices, and related security frameworks (e.g., ISO, NIST, HITRUST, SOC II).

Thrives in dynamic, cross-functional team environments.

Possesses a team-first mindset, valuing diverse perspectives and contributing to a collaborative work culture.

Approaches challenges with a positive and can-do attitude.

Willing to challenge the status quo, demonstrating ability to understand when and how to take appropriate risks to drive performance. 

A passionate problem solver.

High learning agility

Preferred Qualifications:

Experience in various interoperability data standards in healthcare (e.g., HL7, FHIR, c-CDA, DICOM).   

Experience in building software as a medical device (SaMD), Quality Management System (QMS), and knowledge of ISO-13485, 62304, 21 CFR part 11/820 standards.

Experience in EMR and PACS integration

Work hours: 1 PM to 10 PM IST

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Alcon is an Equal Opportunity Employer and takes pride in maintaining a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, disability, or any other reason.

Experience Level

Senior Level