S&C Global Network - AI - Song - Growth Analytics- Associate Manager
Accenture (company site, opens in a new tab)8–12 yrsGurugramOn-siteDirect career pageEst. 30–45 LPA
Posted 11h ago
Reach people at Accenture
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Accenture you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Own the roadmap, architecture, delivery, reliability and cost efficiency of cloud-native data platforms and end-to-end data products for analytics, reporting and ML/GenAI.
- Lead design and implementation across data pipelines, services, APIs, storage and deployment infrastructure; drive platform security, governance, observability and operational practices.
- Manage engineering teams and delivery across multiple pods, partnering with product, data science and analytics stakeholders on priorities, service levels and modernization initiatives.
Minimum Requirements
- Work Experience Required: 8–12+ years in software/data engineering and cloud platform roles, including 3+ years managing or leading engineering teams.
- Education: B.Tech/M.Tech from a reputed engineering college; the JD also lists a master’s/M.Tech in Computer Science or a master’s in Statistics, Econometrics or Economics from a reputed institute.
- Proven cloud-native data platform experience on AWS, Azure or GCP, with strong backend and API capabilities and experience across data technologies such as Spark/Databricks, lakehouses, warehouses and streaming.
- Experience with infrastructure as code, Kubernetes, CI/CD and automated testing; solid knowledge of data security, access controls, compliance, observability and cloud cost management.
Ideal Candidate Profile
- Has led engineering teams while retaining technical ownership of production-grade cloud data platforms and end-to-end data products.
- Can translate business and analytics needs into scalable platform roadmaps, and manage delivery, reliability, security and cost trade-offs across multiple workstreams.
- Has experience modernizing data and software environments, such as migrating on-premises platforms to cloud or legacy ETL to lakehouse architectures.