Manager-Data & ML Engg

Job Summary This role involves managing data and machine learning engineering projects leveraging expertise in Tableau PL/SQL and Python to deliver impactful solutions. The candidate will work in a hybrid model collaborating with cross-functional teams to drive innovation and optimize data-driven decision-making processes.

Responsibilities

• Oversee the design and implementation of data pipelines and workflows to ensure seamless integration and processing of large datasets.
• Develop and maintain machine learning models to address complex business challenges and improve operational efficiency.
• Collaborate with stakeholders to understand requirements and translate them into technical solutions using Tableau PL/SQL and Python.
• Provide technical guidance and mentorship to team members fostering a culture of continuous learning and innovation.
• Monitor and optimize the performance of data systems and machine learning models to ensure reliability and scalability.
• Conduct thorough testing and validation of data and ML solutions to maintain accuracy and compliance with industry standards.
• Implement best practices for data governance security and privacy to safeguard sensitive information.
• Analyze data trends and patterns to generate actionable insights that drive strategic decision-making.
• Work closely with product and engineering teams to align data and ML solutions with business objectives.
• Create detailed documentation for all data and ML processes to ensure transparency and knowledge sharing.
• Stay updated with the latest advancements in data engineering and machine learning technologies to incorporate innovative solutions.
• Facilitate effective communication between technical teams and non-technical stakeholders to ensure project alignment.
• Contribute to the companys mission by delivering data-driven solutions that enhance societal impact.

Qualifications

• Possess strong expertise in Tableau for data visualization and reporting.
• Demonstrate proficiency in PL/SQL for database management and query optimization.
• Exhibit advanced programming skills in Python for developing machine learning models and data processing scripts.
• Have a solid understanding of data engineering principles and machine learning algorithms.
• Showcase excellent problem-solving skills and the ability to work collaboratively in a hybrid work environment.
• Hold a minimum of 12 years of relevant experience in data and ML engineering with a maximum of 14 years.
• Display effective communication skills to interact with cross-functional teams and stakeholders.
• Bring a proven track record of delivering high-quality data and ML solutions in previous roles.
• Show familiarity with industry standards and best practices for data governance and security.
• Demonstrate adaptability to evolving technologies and business requirements.
• Exhibit strong analytical skills to interpret data and generate actionable insights.
• Have experience in creating detailed documentation for technical processes and solutions.