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Senior Mgr, Software Engineer
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Job Description
Job Summary
Lead a multi-team AI and Analytics organization responsible for building scalable AI platforms, conversational analytics, self-service analytics, and enterprise BI solutions. Drive strategy, architecture, delivery, and organizational growth while managing managers and globally distributed teams
Job Requirements
Responsibilities
- Lead the development of Generative AI and Agentic AI platforms, including reusable AI agents, orchestration, and governance.
- Own conversational analytics, self-service analytics, and enterprise reporting platforms.
- Ensure AI quality, reliability, security, compliance, and operational excellence.
- Build and scale teams of software engineers, data engineers, data scientists, BI developers, and analysts.
- Define technology strategy, organizational design, hiring, performance management, and succession planning.
- Partner with business and technology leaders to deliver measurable business outcomes.
Required Qualifications
- 14+ years of experience in Software Engineering, Data Platforms, Data Science, or related fields.
- 7+ years of people management experience.
- 2+ years managing managers or multiple teams.
- Proven experience delivering enterprise-scale AI, analytics, or data-driven products.
- Strong expertise in AI/ML, LLMs, RAG, AI agents, software architecture, cloud platforms, APIs, data pipelines, and BI solutions.
- Hands-on experience with database technologies, ETL/ELT pipelines, and large-scale data platforms.
- Excellent leadership, stakeholder management, and strategic planning skills.
Preferred Qualifications
- Experience with Conversational AI and Agentic Analytics.
- Knowledge of Azure OpenAI, LLMs, RAG, Vector Databases, and MLOps.
- Proficiency in Python, C#, .NET, and SQL Server.
- Experience with Azure Data Factory, Databricks, Spark, and Power BI.
- Expertise in cloud-native architectures, microservices, DevOps, CI/CD, and observability.
Education
- Typically requires a minimum of 14+ years of related experience.Mgr & Exec - Typically requires a minimum of 10 years of related experience.
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.
More Info
Job Type:
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Function:
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Key Skills
data pipelines
large-scale data platforms
CI CD
cloud-native architectures
observability
LLMs
cloud platforms
BI solutions
ELT pipelines
RAG
AI agents
About Company
Skills:
snowflake , Java, Maven, Kafka, Microservices, Nosql, Jenkins, Gcp, Gradle, Docker, Restful Services, Postman, Azure, Python, Kubernetes, AWS, CI/CD pipelines, Relational Databases, Git Actions
Skills:
Debugging, Automation solutions, Test Planning, End-to-end quality ownership, Root Cause Analysis, Quality strategy, Feature validation, Automation-first testing practices, Agile environments, Python-based test automation frameworks, Troubleshooting, Scale testing, Validation infrastructure development, Release readiness, GenAI-powered tools
Skills:
.NET, C#, CSS, PowerShell, Sql, HTML, Angular, Jenkins, Git, Typescript, Docker, Terraform, Restful Apis, Python, Kubernetes, GitHub Actions, ASP.NET Core, CI/CD
Skills:
Software Development Life Cycle, Agile Methodologies, integration techniques, customizing and extending enterprise software applications, PTC Windchill, working with APIs
Skills:
Java, Databases, Machine Learning, Apis, Scala, Kotlin, Microservices, Python, data pipelines, asynchronous architectures, model-serving patterns, Go, Ai, cloud platforms, scalable distributed systems, production inference workflows, evaluation frameworks, NoSQL technologies