Technology Lead – Digital & AI Solutions
india
Job Description
Responsibilities (how we will measure success)
Lead the design, development, and deployment of digital and AI solutions, including but not limited to machine learning algorithms, natural language processing applications, computer vision systems, and predictive analytics models.
Provide technical leadership and guidance to a team of developers, data scientists, and engineers, ensuring the successful execution of projects within scope, budget, and timeline constraints.
Collaborate with stakeholders to understand business requirements, identify opportunities for innovation, and translate technical concepts into actionable strategies.
Stay abreast of emerging technologies, industry trends, and best practices in digital and AI to drive continuous improvement and maintain a competitive edge.
Oversee the implementation of robust software development methodologies, quality assurance processes, and security standards to ensure the reliability, scalability, and security of digital and AI solutions.
Foster a culture of innovation, collaboration, and knowledge sharing within the technology team, promoting professional growth and development opportunities for team members.
Serve as a subject matter expert on digital and AI technologies, providing insights, recommendations, and thought leadership to senior management and key stakeholders.
Continuous Improvement: Support in the development of Monitoring and evaluation tools/ procedures the performance of Digital & AI solutions conducting post-implementation reviews, and implementing lessons learned to improve future decision-making and outcomes.
Process Improvement: Identifying opportunities to streamline technical solutions across IQ-EQ to improve efficiency and optimize resource utilization.
Compliance and Reporting: Ensuring compliance with internal policies and external regulations related to core Digital & AI product deployments and preparing reports for management and stakeholders for scheduled and ad-hoc forums.
Desired Criteria:
Systems Analysis Qualification
Experience working in Agile/Scrum methodologies.
Certifications in relevant technologies or methodologies (, AWS Certified Solutions Architect, Microsoft Certified Azure AI Engineer).
Experience of operating within a firm that shares some of the following features: -Globally distributed teamsFinancial ServicesFast-paced and rapidly evolving environment
Knowledge of or experience working in a Private Equity / Investor services industry
Key competencies for position and level
Communicates Effectively
Effective Team Player
Demonstrates Resilient
Plans and Aligns
Organisation Savvy
Embodies our ABC values: Authentic , Bold , and Collaborative