Lead Portfolio Analytics Architect

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Portfolio Analytics Architect based in India . As a Lead Portfolio Analytics Architect, you will lead a team of data professionals responsible for ensuring the accuracy, integrity, and quality of complex financial portfolio data. You will combine people leadership with hands-on technical expertise to oversee end-to-end data validation projects and drive operational excellence. Working with investment datasets, analytics platforms, and cloud-based technologies, you will develop scalable solutions that improve efficiency and automate workflows. You will also play a key role in shaping the team's strategy, strengthening internal processes, and introducing AI-driven innovations. Collaborating with global stakeholders across multiple regions, you will ensure consistent project delivery and high-quality client outcomes. This is an opportunity to influence a growing analytics practice while developing talent and solving challenging data problems. Accountabilities • Team Leadership and Development: Lead, mentor, and manage a team of Portfolio Analytics Architects, balancing managerial responsibilities with hands-on project delivery. Establish clear objectives, performance metrics, and priorities while ensuring consistent productivity and high-quality outcomes. • Performance Management: Conduct regular one-to-one meetings, performance reviews, and career development discussions. Support employee onboarding, identify development opportunities, delegate responsibilities, and foster a culture of accountability and continuous improvement. • Recruitment and Resource Planning: Assess staffing requirements and collaborate with recruitment teams to attract, interview, select, and onboard qualified professionals. • Data Analytics and Validation: Oversee end-to-end data validation projects involving complex investment portfolios, ensuring accuracy, consistency, and reliable results. Develop scalable data analytics processes using Databricks and create custom Python solutions to detect large-scale data anomalies and automate remediation. • Process Optimization and Automation: Identify opportunities to streamline workflows, improve internal tools, and increase operational efficiency. Introduce AI-driven automation and Large Language Model (LLM) integrations to support scalable implementation processes. • Strategic Leadership: Drive internal management initiatives and contribute to the development and execution of the Data Analytics practice strategy. Collaborate with regional leaders to improve team performance, operational consistency, and service delivery. • Project and Stakeholder Management: Coordinate multiple projects simultaneously, manage priorities, monitor execution, and ensure deadlines are met. Communicate complex findings and project updates clearly while escalating risks and resolving delivery challenges. • Best Practices and Quality Assurance: Establish and promote consistent methodologies, technical standards, and best practices to ensure reliable, high-quality data solutions across projects and teams. Requirements • Education: Bachelor's degree in Finance, Mathematics, Statistics, Engineering, Business, Economics, or a related discipline. Progress toward CFA or FRM certification is an advantage. • Professional Experience: At least 5 years of experience in technology, finance, consulting, fund accounting, or investment operations, with demonstrated experience managing teams, projects, and cross-functional initiatives. • Financial Data Expertise: Hands-on experience working with complex investment datasets, including multi-asset-class portfolios, investment performance data, and market data from multiple sources. • Technical Skills: Proficiency in Python, Spark, and/or SQL, with a solid understanding of ETL fundamentals and working knowledge of REST APIs. • Data Platforms: Experience with Databricks or other cloud-based distributed data platforms, ideally involving large-scale data processing and analytics. • Leadership and Management: Proven ability to lead, coach, motivate, and develop teams while establishing clear objectives, managing performance, and driving accountability. • Analytical and Problem-Solving Skills: Strong ability to investigate complex challenges, identify root causes, design practical solutions, and implement process improvements. • Project Management: Excellent organizational and prioritization skills, with the ability to manage competing deadlines, coordinate multiple initiatives, and consistently deliver results. • Communication and Collaboration: Strong written and verbal communication skills, including the ability to document technical findings, present team achievements, and collaborate effectively with international stakeholders. • Personal Attributes: Proactive, adaptable, independent, and solution-oriented, with a strong work ethic, positive attitude, and collaborative mindset. • Global Collaboration: Flexibility to work hours that regularly overlap with teams based in the United States and the United Kingdom. • Additional Advantages: Previous experience with investment management software implementations or Salesforce is a plus. Benefits The original job posting does not specify a detailed benefits or compensation package. However, the opportunity offers: • A leadership position with the opportunity to shape and grow an expanding Data Analytics practice. • The opportunity to work on complex financial data challenges and large-scale technology initiatives. • Exposure to innovative technologies, including AI-driven automation, LLM integrations, Python, Spark, and Databricks. • Opportunities for professional development, technical growth, and leadership advancement. • Collaboration with international teams and exposure to global investment management projects. • An inclusive an