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SaT-DNA-Data & AI Strategy-Associate Director
15-17 years
₹ 30 - 80L/yr (AmbitionBox estimate)
This is an estimate of the average salary range for this
position. It has not been reviewed by the company, and
the actual salary may differ.
Bangalore / Bengaluru
1 vacancy
SaT-DNA-Data & AI Strategy-Associate Director
Ernst & Young
posted 13hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
We re looking for Associate Director - Data & AI Strategy. The main objective of the role is to develop and articulate a comprehensive and forward-looking Data & AI strategy that aligns with the overall business strategy and objectives. Translate business needs and opportunities into actionable data and AI initiatives. Develop and execute a roadmap for AI adoption and implementation across the organization. Identify and evaluate emerging AI technologies and their potential business applications. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing.
Discipline Data & AI
Key Skills
Key Skills
Strong understanding of data concepts, including data warehousing, data mining, data quality, and data governance.
Familiarity with AI/ML concepts, algorithms, and applications (e.g., machine learning, deep learning, natural language processing).
Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration
Familiarity with AI/ML concepts, algorithms, and applications (e.g., machine learning, deep learning, natural language processing).
Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration
Skills and attributes for success
- 15-17 years of total experience with 10+ years in Data Strategy and architecture field
- 15-17 years of total experience with 7+ years in AI Strategy & implementation.
- Strong knowledge of data architecture, data models and cutover strategies using industry standard tools and technologies
- Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP)
- Solid hands-on 10+ years of professional experience with creation and implementation of data science engagements and helping create AI/ML products
- Proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis
- 7+ years experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ]
- 7+ years hands-on experience in various Azure services preferred - Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks
- Minimum of 8 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse
- Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
- Strong creative instincts related to data analysis and visualization.
- Aggressive curiosity to learn the business methodology, data model and user personas.
- Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends.
- Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management
- Willingness to mentor team members
- Solid analytical, technical and problem-solving skills
- Excellent written and verbal communication skills
- Strong project and people management skills with experience in serving global clients
To qualify for the role, you must have
- Master s Degree in Computer Science, Business Administration or equivalent work experience.
- Fact driven and analytically minded with excellent attention to details
- Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data
- Relevant work experience of minimum 15 to 17 years in a big 4 or technology/ consulting set up
- Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team
Employment Type: Full Time, Permanent
Read full job descriptionPrepare for Associate Director roles with real interview advice
What people at Ernst & Young are saying
Rating based on 19 Associate Director
reviews
Anonymous · Consulting
in New Delhi
Likes
For talented pool the growth opportunity in terms of learning, promotions, visibility etc. Is amazing
- Skill development - Excellent
+4 more
Dislikes
Effort vs compensation is not at par and differentiation between high performing people and average is not very transparent. Mostly people who put papers are only rewarded .
- Salary - Poor
Associate Director salary at Ernst & Young
reported by
427
employees
with 12-23
years exp.
₹26.4
L/yr - ₹87.9
L/yr
35%
more
than the average Associate Director Salary in India
View more details
What Ernst & Young employees are saying about work life
based on 10.6k employees
Flexible timing
Monday to Friday
No travel
Day Shift
Ernst & Young Benefits
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