Senior Vice President, Senior Technology Program Manager - AI & Asset Management

Antares Capital - Chicago, IL

Full-time - Senior

Chicago, IL

Securities, Commodity Contracts, and Other Financial Investments and Related Activities

About the position

Antares Capital seeks a dynamic, hands-on Senior Program Manager to oversee strategic data and technology programs that align with the organization's transformational goals in asset management and financial services. This role will lead complex cross-functional initiatives across front, middle, and back-office business functions and elevate Antares's capabilities to deliver new products, operational efficiencies, effective data quality management processes, technology governance, and systems integration needs. The position combines program management responsibilities, coordination across business functions, delivery responsibility within Asset Management, and the use of AI capabilities for mission-critical activities in a highly regulated environment.

Responsibilities

• Lead Strategic Programs: Design, implement, and oversee complex, cross-functional data and technology initiatives aligned with asset management objectives.
• Propel programs for AI, Machine Learning, and Computational techniques to enhance Antares's technical and operational portfolio.
• Resource and Stakeholder Management: Allocate resources effectively, engage with senior stakeholders, and ensure robust communication across program lifecycles.
• Risk Management and Compliance: Identify and mitigate program risks; ensure all initiatives adhere to industry and regulatory standards, including data privacy laws (GDPR, CCPA).
• Performance Metrics and Reporting: Establish success metrics, develop KPIs, and provide regular status updates to executive teams.
• Collaboration and Integration: Work closely with front, middle, back office, and technology teams to align initiatives with business strategies, ensuring that program goals are achieved with a heavy focus on Data Quality and Process maturity.
• Audit and Compliance Readiness: Collaborate with internal audit to ensure alignment with data controls and regulatory requirements, preparing the organization for successful audits.
• Financial Services Integration: Apply a deep understanding of asset management processes, including sales, marketing, trade management, portfolio analytics, investor reporting, and compliance workflows.
• Vendor and Third-Party Coordination: Engage with third-party service providers to ensure end-to-end data quality and integration, particularly with systems supporting trade, investor, and portfolio data.
• Process Improvement: Identify opportunities to enhance data and operational processes, streamlining workflows to support business scalability and reduce costs.
• Data Quality and Analytics Enablement: Implement data quality standards, oversee data accuracy and reliability, and leverage data analytics tools to provide actionable insights for decision-making.
• Interface with internal and external stakeholders to achieve program/project goals.
• Educate and train employees on disciplined technology and data governance policies and procedures.
• Manage collaboration between technology and other business teams to align initiatives with strategic goals.
• Act as a liaison between consumers of information and technology team to ensure alignment and understanding where necessary.
• Partner with business functions to build and develop future processes and enhancements to current workflows, focusing on efficiency and scale in everything Antares does. Develop and Implement process governance standards, focusing on data quality management and technology leverage.
• Collaborate with Technology Teams: Partner with IT and architecture teams to oversee the integration of data platforms, data lakes, and cloud-based solutions, including AWS, Azure, and Snowflake.
• AI, ML, and Data Management Tools: Implement and maintain tools for data governance (e.g., Collibra, Informatica), master data management, and data visualization (Power BI, Tableau).
• Innovation in Data Management: Lead efforts in automating data governance practices, enhancing data access and usability, and ensuring scalability to meet future needs.
• Drive implementation of AI and ML driven strategic programs, manage internal and vendor resources to achieve business goals.

Requirements

• Bachelor's degree in Information Technology, Finance, Business, Science or a related field; a master's degree or relevant certifications (e.g., CDMP, DGSP) is preferred.
• Deep understanding of asset management and the investment industry, including specific data needs of Sales & Marketing, Portfolio Management, Operations, Finance and Back-Office teams.
• Familiarity of AI, Machine Learning and Computational techniques to enhance technical and operational portfolio at Antares. Experienced in applying intelligence technologies to business problems for effective ROI and business outcomes.
• Familiarity with end-to-end information processing for an asset manager, including an understanding of the complete life cycle of transactions, trade booking and management, portfolio and investor reporting and analytics, financial reporting, closing period workflows, and processes.
• Experience working with third-party service providers (Fund Admins and SAS Vendors) to establish end-to-end data and process flows, focusing on quality and timeliness.
• Working experience with data governance practices, business and technology issues related to managing enterprise data assets, and data governance policies.
• Experience with data platforms (AWS, Azure, Snowflake), data governance tools, and data analytics platforms (Power BI, Tableau).
• Understanding of AI and ML concepts, related vendors and products & have implemented one or more programs related to above.
• Excellent interpersonal, communication, and leadership skills, with the ability to drive alignment and influence senior stakeholders.
• Strong analytical, problem-solving, and decision-making skills.
• Experience and knowledge of Indus Valley Partners (IVP) products and solutions, including Security Master, Reference Master, Recon, and Polaris, are extremely desirable.

Nice-to-haves

• Experience with cloud data platforms, data warehousing solutions, and BI tools such as AWS, Azure, Fabric, Snowflake, and Power BI.