Experience
14 - 20 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Associate Director Data Science
Job Type
ONSITE
Job Description
What you will do
The Associate Director , Enterprise Data Platforms will help transform Amgens Data, BI & Governance platforms through Cloud Optimization , Automation, SRE & Production Assurance . The Associate Director is responsible for leading the development, implementation and management of optimization, automation and assurance services in support of enterprise-level data platforms that enable the organization''s data-driven initiatives. This role will closely collaborate with counterparts in US , and oversee the architecture, design, delivery and maintenance of cloud data platforms and pipelines critical to Amgens data and AI ambitions. The Associate Director will work with cross-functional teams, including data architecture, engineering & governance teams, platform owners, cloud teams and business stakeholders, to ensure sustainable operations, excellent test quality and optimized cloud spend. A key aspect of this role involves extensive experience with Amazon Web Services (AWS) and Databricks, a unified data analytics platform, to optimize big data processing, data integration, and machine learning workflows.
You will be the Enterprise Engineering & Analytics'' India Discipline leader for SREs, Automation Engineers and Cloud Engineers with roughly half of your role as management and mentorship and the other half execution as a product manager in a product team.
ROLES & RESPONSIBILITIES
- Platform Leadership: Lead the design, implementation, and lifecycle management of enterprise data platforms including:
- AWS Cloud Platform: Provisioning, operations, cost optimization, and observability
- Databricks: Cluster management, job orchestration, security governance, and platform upgrades
- Data Visualization Platforms: Oversight of Tableau, Power BI, and other relevant tools
- Data Quality & Governance: Implement and manage tools like Collibra, Informatica DQ, or equivalent
- Databases : : Implement and manage Relational, No-SQL & Graph Databases.
- Site Reliability Engineering (SRE): Ensure resilience, availability, observability, and automated recovery mechanisms for data platforms. Drive DevOps and IaC (Infrastructure as Code) practices.
- Cloud FinOps: Manage cloud spend and optimize cost-performance trade-offs for AWS and Databricks. Establish governance policies and dashboards for consumption tracking.
- Operations & Support: Establish and oversee L2/L3 support for platform incidents, SLAs, and maintenance. Ensure platform health, upgrades, patching, and vulnerability remediation.
- Innovation & Roadmap Execution: Stay current with cloud-native innovations and establish strategic roadmaps for platform evolution. Lead PoCs and pilot initiatives aligned with business priorities.
- Collaboration: Partner with enterprise architects, product owners, engineering teams, and business stakeholders to drive data platform adoption and ensure alignment with enterprise standards.
- Team Leadership: Manage a team of platform engineers and vendors across global time zones. Foster a high-performance, inclusive, and collaborative team culture.
Must-Have Skills:
- E xperience i n Designing, Implementing & Managing enterprise scale cloud Data, BI platforms, automation engineering, SRE teams for data platforms or applications.
- Experience with AWS/Azure, Databricks , PowerBI , Tableau, Informatica platforms
- Strong understanding of Cloud Infrastructure, Data and AI platforms, Data Warehouse, and data pipeline concepts and practices.
- Strong understanding of cloud infrastructure and data pipeline performance and cost factors, and experience in optimizing costs.
- Experience leading a team of 25+ people.
Basic Qualifications and Experience
- Masters degree in business , Information Technology, Computer Science, or a related field and 14 + years of relevant work experience
- Bachelors degree in business , Information Technology, Computer Science, or a related field and 16+ years of relevant work experience
- AWS Cloud Solution Architecture & Administration certifications
- Databricks certifications
Soft Skills:
- A strong interest and demonstrated excellence in mentoring, helping early career professionals grow their careers.
- Excellent analytical and troubleshooting skills.
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation.
- Ability to manage multiple priorities successfully.
- Team-oriented, with a focus on achieving team goals
- Strong presentation and public speaking skills.
No Referrers Available
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