15 Sep
|
McKinsey u0026
|
Bengaluru
15 Sep
McKinsey u0026
Bengaluru
YOUR IMPACT
You will contribute to building analytical products that help clients improve healthcare outcomes, leveraging modern data engineering tools and practices. Working as part of a team on active client engagements, you will support initiatives focused on delivering more affordable, accessible, and high-quality healthcare globally.
You will join our Client Capabilities Network in Gurugram or Bengaluru as part of the HALO (Healthcare Access, Quality, and Outcomes) domain within the SHaPE (Social, Healthcare and Public Entities) practice.
You will design and develop interactive dashboards and visualizations using tools such as Power BI, enabling explicit and effective communication of insights to clients and internal stakeholders. You will also leverage emerging Generative AI tools and agent-based workflows to support delivery tasks such as code generation, data transformation, and documentation, improving productivity and solution quality.
In collaboration with data engineers, product teams, and other stakeholders, you will support the development and maintenance of data pipelines, software applications, and scalable data frameworks, including reusable assets that enable efficient data processing and analysis across projects. Your work also involves configuring and delivering data and software solutions aligned with client needs, while supporting client interactions where required.
You will translate client requirements into data models, configurations, and implementation steps under supervision, ensuring alignment with product capabilities. Applying structured problem-solving, you will help troubleshoot data and implementation challenges,
while ensuring data quality and consistency in visualizations through validation of data sources and adherence to best practices in dashboard design. You will also contribute to documentation, knowledge sharing, and capability building across data engineering, visualization, and software tools.
SHaPE fosters innovation driven by advanced analytics, user experience design thinking, predictive forecasting to develop new products/services and integrating them into our client work. It is helping to shift our model towards asset-based consulting and is a foundation for our entrepreneurial culture.
YOUR QUALIFICATION
- Bachelors degree in Computer Science, Engineering, or a related field; advanced degree preferred
- 5 plus years of experience building data-intensive applications using Python or similar languages, with strong proficiency in SQL (data modeling, query optimization, and performance tuning)
- 2 plus years of experience developing dashboards and working with data visualization tools such as Power BI, Tableau, or similar platforms
- Experience with modern data platforms (e.g., Databricks, Snowflake) for data processing, storage, and analytics, along with exposure to distributed data processing frameworks (e.g., Spark, Hive, Hadoop ecosystem)
- Exposure to Generative AI (e.g., LLMs, prompt engineering, AI-assisted development tools) and/or familiarity with NLP techniques and building data solutions leveraging unstructured data is a plus
- Solid understanding of software development best practices, including version control (Git), CI CD pipelines, DevOps tools (e.g., Jenkins), and Agile methodologies
- Interest in the healthcare domain preferred; prior experience not required
- Willingness to travel as needed (expected travel less than 10%)
- Strong communication skills, with the ability to collaborate effectively in cross-functional and client-facing environments
📌 Software Delivery Specialist (Bengaluru)
🏢 McKinsey u0026
📍 Bengaluru