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Associate Director
4 weeks ago
Location: Hybrid – Chennai (Mandatory 10 days in a month)
Job type: Full time
About the Job:
As a Director of Emerging Technologies and Analytics, you will help establish enterprise-level AI and ML programs and initiatives to support the company's ambitious growth and expansion goals. You also need to have a proven track record of developing and implementing machine learning models in real-world applications, managing teams of machine learning engineers, business intelligence analysts, and data scientists.
What will you do:
- Collaborate with stakeholders to develop and implement innovative solutions, utilizing emerging technology such as AI/ML and automation to create value and support business goals.
- Develop and execute a comprehensive AI/ML, analytics, and BI strategy aligning with the organization's goals and objectives.
- Oversee the research, development, and deployment of AI/ML models to solve business problems and enhance product offerings.
- Work with cross-functional teams to integrate AI/ML solutions into products and services, evaluate generative AI algorithms, and extract knowledge and content from unstructured data using multi-modal generative AI methods.
- Lead the design and implementation of enterprise-level solutions using cloud-native platforms.
- Drive the development and implementation of advanced analytics methodologies, techniques, and tools, extracting actionable insights from complex data sets to support decision-making.
- Create and enhance BI solutions, dashboards, and reports to provide timely and accurate information to key stakeholders.
- Work with executives and cross-functional teams to understand their data needs and align data and analytics initiatives with their strategic priorities.
- Provide strong leadership to the technology and analytics team, driving operational excellence through process improvement, effective design, and performance measurement.
- Stay abreast of the latest developments in the industry and recommend tools, platforms, and methodologies to enhance the organization's data capabilities and competitive advantage.
- Manage and mentor a high-performing team, ensuring their professional growth and development, and oversee hiring, onboarding, and ongoing performance management.
- Establish a collaborative and innovative work environment, adhering to relevant data privacy laws and industry regulations.
Who are you:
Education & Experience:
- Bachelor's or advanced degree in computer science, data science, data analytics, statistics, mathematics, or engineering (master’s or Ph.D. preferred)
- Experience: Over 10 years of experience in technology leadership with a strong focus on emerging technologies and business analytics, along with advanced knowledge of application development, data solutions, system integration, and system implementation.
Technical Skills:
- In-depth knowledge and demonstrable experience in the following technologies and methodologies:
- Strong programming skills in Python.
- Experience with cloud-based infrastructure, AI, and ML platforms such as AWS, Azure, or Google Cloud
- Experience leading strategic business planning for AI/ML, data science, and analytics functions in a large, globally matrixed business organization.
- Strong hands-on AI/ML modeling experience of complex datasets combined with a theoretical understanding of AI/ML.
- Proficiency with natural language processing techniques and best practices.
- Proven record of developing and implementing machine learning models in real-world applications and managing teams of machine learning engineers, BI analysts, and data scientists.
- Managing teams with strong collaboration, remarkable culture, and positive working environments.
- Skilled in handling enterprise data and analytics capabilities, including data management, reporting, business intelligence, and advanced analytics solutions.
- Knowledge of data management, governance, and architecture principles, with practical experience implementing scalable data solutions.
- Demonstrated the use of innovation in IT to support business needs with strategically measurable contributions to business results.
Soft Skills:
- Attention to detail.
- Good oral and written communication skills in English language.
- Dedicated self-starter with excellent people skills.
- Quick learner and a go-getter.
- Effective time and project management.
- Analytical thinker and a great team player.
- Strong leadership, interpersonal & problem-solving skills.
