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About the Role

Provides senior end-to-end technology leadership for a critical cross-bet domain connecting AI-led Portfolio Management with Enterprise Plan to Perform (EPP). Accountable for technology strategy, architecture, data integration, analytics, reporting, AI capabilities, engineering, controls, and delivery to connect investment activity and portfolio decisions with NII, earnings, capital forecasts, and enterprise leadership reporting. This role emphasizes establishing trusted and explainable connections between investment and financial information, with a focus on deterministic data, reconciliation, lineage, semantic consistency, controls, and traceability, while identifying opportunities for AI to enhance explanation, synthesis, investigation, scenario understanding, and decision support.

Responsibilities

Own the technology strategy and roadmap connecting portfolio decisions, positions, cash flows, assumptions, and investment activity to NII, earnings, capital, forecasts, and related FP&A capabilities.
Create reliable, traceable technology patterns for moving investment information into Finance planning and modeling workflows.
Partner with EPP Planning & Projections, Financial Modeling, Performance Technology, and NEXUS Technology to ensure investment information is consistently represented and usable across enterprise financial decision-making.
Identify and resolve cross-bet dependencies involving data, timing, calculation logic, semantics, controls, and ownership.
Establish measurable outcomes tied to timeliness, reconciliation quality, decision support, reduction of manual handoffs, and improved integration between Investments and Finance.
Own technology capabilities supporting business leadership reporting across investment performance, product health, fundraising, investment-team updates, portfolio developments, and related management views.
Reimagine reporting from static production and distribution toward continuously available, governed, drillable, and explainable information.
Enable leaders to move from reported outcomes into underlying drivers, context, and relevant actions while preserving authoritative metrics and controls.
Identify opportunities for AI to synthesize commentary, investigate drivers, prepare briefing materials, and answer contextual questions using trusted enterprise information.
Ensure leadership reporting remains consistent with authoritative investment and Finance data and definitions.
Partner with the cross-bet Data Architect to define authoritative sources, data products, semantic models, lineage, reconciliation, freshness, and cross-bet data contracts.
Partner with both Solution Engineering & Architecture leads to define integration and application patterns across Portfolio Management and EPP.
Determine where data must be physically consolidated versus where governed federation or runtime access is appropriate, with particular emphasis on deterministic financial outputs.
Ensure traceability from source investment information through transformations, models, reports, and downstream Finance outputs.
Embed security, entitlements, controls, auditability, resiliency, and production readiness throughout the architecture.
Partner with Business Discovery & Solution Strategy leaders across both bets to define future-state reporting and Investments-to-FP&A workflows.
Use AI and agentic capabilities selectively for explanation, synthesis, anomaly investigation, contextual retrieval, and workflow acceleration while preserving deterministic financial calculations where required.
Use prototypes to validate user journeys, data availability, integration patterns, and decision-support concepts before scaling.
Lead multidisciplinary outcome teams involving Product Owners, Forward Deployed Analysts, Forward Deployed Engineers, Obin AI engineers, Finance and investment SMEs, Data SMEs, and Risk/Control partners.
Manage strategic partners and federated teams with clear accountability for quality, outcomes, and knowledge transfer.
Build trusted relationships with senior Investments, Finance, and Technology leaders and drive decisions across organizational boundaries.
Create transparency around cross-bet priorities, dependencies, tradeoffs, investment requirements, and delivery commitments.
Establish measures of data quality, reconciliation, reporting timeliness, adoption, workflow efficiency, and business value.
Ensure solutions support durable enterprise capabilities rather than bespoke reporting or one-off integrations.
Build, lead and develop high performing teams with strong domain knowledge and modern technology and engineering capabilities.
Attract, develop and retain forward deployed and other high caliber technology talent, while building technology leadership and domain expertise across the organization.
Establish clear accountability and a culture of collaboration, innovation, engineering discipline and continuous improvement.
Lead effectively through both direct authority and matrixed relationships across Business, Product, Technology and partner teams.

Requirements

15+ years of progressively responsible experience in technology, software engineering, solution delivery, digital transformation, investment technology, data/analytics, or related disciplines, including significant leadership responsibility in complex enterprise environments.
Proven experience owning end-to-end technology capabilities or major transformation domains from strategy through architecture, engineering, implementation, production, adoption, and measurable outcomes.
Demonstrated success operating in federated or matrixed enterprises and influencing senior business and technology stakeholders across organizational boundaries.
Broad technology and engineering background spanning modern application development, APIs and integration, data and analytics, cloud platforms, enterprise architecture, automation, and emerging technologies.
Strong understanding of generative AI, agentic technologies, and AI-assisted engineering and their practical application to enterprise workflows and software delivery.
Experience leading multidisciplinary technology teams and managing strategic partners, contractors, and federated resources.
Experience making consequential technology, architecture, investment, sequencing, and resource tradeoffs in complex transformation environments.
Experience operating within enterprise Risk, Security, Compliance, Audit, and control environments.
Strong analytical, communication, prioritization, systems-thinking, and executive-influence capabilities.
Experience with investment accounting, FP&A, NII, capital, earnings forecasting, management reporting, or finance technology.
Experience integrating investment, portfolio, or asset-management data with Finance or enterprise planning capabilities.
Experience with governed reporting, semantic layers, reconciliation, lineage, and controlled financial data products.
Experience applying AI to financial analysis, management reporting, or decision support while maintaining deterministic controls.

Skills

Domain Technology Leadership
Technology & Engineering Judgment
Systems Thinking
AI-Enabled Transformation
Executive Communication & Influence
Strategic Planning & Execution
Enterprise Delivery Discipline
Talent & Partner Leadership
Risk & Control Judgment
People Management

Location

Hybrid

Work Type

Hybrid - 3 days per week

Experience Level

15+ years

Salary/Compensations

$185,000-$264,500

Benefits

Leave programs
Adoption assistance
Student loan repayment programs

About the Company

At New York Life, our 180-year legacy of purpose and integrity fuels our future.
As we evolve into a more technology, data, and AI-enabled organization, we remain grounded in the values that drive lasting impact.
Our diverse business portfolio creates opportunities to make a difference through bold thinking, collaborative problem-solving, and purpose-driven innovation.
As a Fortune 100 mutual company, we offer a place to grow your skills, contribute to meaningful work, and deliver solutions that matter.
Your ideas drive what’s next, and your growth powers it.

Equal Opportunity

At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities.
We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together.
This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported.
By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.
Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation.
We're proud that due to our mutuality, we operate in the best interests of our policy owners.