The
AI in Operations program
As a Portfolio Manager within The AI in Operations Transformation Office, you will own the end to end process around the AI use cases to ensure appropriate scaling and collaboration of AI capabilities and prioritization of highest value opportunities across the Operations space. Your experience in program management and understanding of the AI space will enable you to manage this complex, firmwide process. Adept navigation through ambiguity, adaptation to change, and leveraging of advanced analytical reasoning and influencing skills are essential for driving mutually beneficial outcomes. Your exceptional communication abilities will foster productive relationships with stakeholders, cross-functional teams, and clients. Through your technical fluency and thought leadership, you will play a pivotal role in achieving business goals, shaping the firm's technology landscape, and moving work forward that has firmwide impact.
Job responsibilities:
- Own the AI in Operations portfolio management process end to end including the intake process, prioritization and workflow process, and metrics and reporting
- Advance and mature the portfolio management process including driving the future direction, strategy, design, governance, and deliverables for the process
- Manage reporting and communicate portfolio performance and accomplishments to senior-level stakeholders
- Manage AI in Operations portfolio operating model – responsible for documentation, implementation, change management and ongoing strategy and planning
- Track key performance indicators (KPIs) and objectives, key results (OKRs) and own all tracking and reporting on program performance and outcomes
- Proactively manage team to ensure the success of programs including clearing of team roadblocks and supporting key escalations & challenges
- Collaborate with cross-functional teams, including AI in Operations program teams, AI teams across the firm, and Operations teams across the firm. Communicate enhancements, risks, and issues to stakeholders and executive leadership. Build and maintain strong relationships with internal and external stakeholders
- Advise and influence senior leaders and business executives on key business decisions, prioritized AI capabilities, and major change initiatives
- Develop deep, trust-based advisor relationships with key client stakeholders in management and the Lines of Business (LoBs) to drive delivery and achieve organizational alignment and buy-in
- Build, lead, and mentor a high-performing team of program managers; ensure the team has the necessary resources, skills, and support to achieve their goals; promote the sharing of best practices and lessons learned across the team
Required qualifications, capabilities and skills:
- 8 years of industry experience working on program management & change management related activities within a large-scale organization with a focus on large-scale transformation initiatives; BA required
- High proficiency with Microsoft PowerPoint for executive level documents and Excel based model for program analytics
- Highly effective organizational and project management skills, strong attention-to-detail, independent, self-motivated with ability to manage multiple priorities in fast-paced environment
- Strong interpersonal skills, ability to build relationships and effectively partner with all levels of management across a diverse set of functions, locations and business
- Excellent oral and written executive-level communication and presentation skills
- Strategic thinking and problem-solving abilities, with proven ability to apply a range of analytical tools to develop solutions; working with ambiguity and laser focused on delivering results
- Strong leadership and team-building skills
Preferred qualifications, capabilities, and skills:
- Strategy or consulting experience is a plus
- A Master’s degree in Business Administration (MBA) can be advantageous
- Experience in Microsoft SharePoint and data visualization tools such as Alteryx or Tableau is a plus
- Strong understanding of AI/ML algorithms, frameworks, and applications and prior experience in AI/ML technology delivery is a plus