Associate Director
2 weeks ago
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.
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