Automation Business Consultant

Established in 1986, Sutherland is a global provider of business process and technology management services offering an integrated portfolio of analytics-driven back-office and customer facing solutions that support the entire customer lifecycle.

As a process transformation company, Sutherland rethinks and rebuilds processes for the digital age by combining the speed and insight of design thinking with the scale and accuracy of data analytics. We have been helping customers across industries from financial services to healthcare, achieve greater agility through transformed and automated customer experiences for over 30+ years.

About the Role

Responsibilities

• Collaborate with business stakeholders to gather and document requirements for AI-driven projects and initiatives.
• Analyze and interpret data to extract actionable insights and identify opportunities for AI integration.
• Work with data scientists and developers to design AI and machine learning solutions that align with business goals.
• Manage and oversee AI projects from conception to implementation, ensuring timely delivery and meeting project objectives.
• Establish and enforce data governance best practices to ensure data quality and compliance with regulations.
• Identify inefficiencies in current business processes and propose AI-driven improvements.
• Communicate project progress and findings to stakeholders, including non-technical team members.
• Create comprehensive documentation of project requirements, processes, and outcomes.
• Conduct testing and validation of AI models to ensure accuracy and reliability.
• Stay updated with industry trends and advancements in AI and data analytics to suggest innovative solutions.

Qualifications

• Bachelor's degree in a relevant field (e.g., Business, Computer Science, Data Science).
• Previous experience as a Business Analyst or similar role, preferably in AI or data-driven projects.
• Relevant certifications in AI, data analysis, or project management (e.g., CBAP, PMP, AI-related certifications).

Required Skills

• Proficiency in data analysis tools and techniques, including data visualization and statistical analysis.
• Strong understanding of AI and machine learning concepts and their practical applications.
• Excellent verbal and written communication skills to bridge the gap between technical and non-technical stakeholders.
• Experience in project management methodologies and tools.
• Familiarity with programming languages such as Python, and data manipulation libraries (e.g., Pandas).
• Understanding of the specific industry or domain in which the AI solutions will be implemented.
• Strong problem-solving skills to identify business challenges and propose AI-driven solutions.
• Ability to adapt to rapidly changing technology and business environments.
• Knowledge of ethical considerations related to AI and data privacy.
• Collaborative mindset to work effectively with cross-functional teams.
• Understanding of business operations, objectives, and strategies.