Senior VP, Total Portfolio Analytics Product Lead

Archer

Boston (MA)

On-site

USD 180,000 - 260,000

Full time

30 hours ago

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Job summary

Archer in Boston, MA is seeking a Senior Vice President, Product Owner for Total Portfolio Analytics to define the end-to-end product vision and drive a next-generation analytics capability across portfolios. You will partner with engineering, business SMEs, design and senior stakeholders to translate portfolio management, risk, and client needs into a scalable analytics service on our data platform.

The role leads an agile pod, owns the roadmap, and delivers analytics capabilities such as

Qualifications

8+ years of experience as a Product Owner or Product Manager supporting portfolio analytics, risk analytics, or financial data products; multi-asset experience and knowledge of the private markets is crucial.
Working knowledge of portfolio analytics concepts, including holdings aggregation, exposures, factor models, benchmarks, risk and return, scenario analysis, and optimization.
Experience with modern data platforms such as Snowflake, microservices, ETL frameworks, and API-based analytics delivery.
Proven track record leading agile delivery teams and managing senior stakeholders in a global matrix environment.
Strong communication, facilitation, and stakeholder management skills.

Responsibilities

Define and own the product vision, strategy, roadmap, and backlog for Total Portfolio Analytics in alignment with portfolio management, risk, compliance, and client outcomes.
Translate stakeholder requirements into epics, user stories, and acceptance criteria focused on measurable business value.
Lead a cross-functional agile pod, including sprint planning, backlog refinement, sprint reviews, and retrospectives.
Partner with Data & Analytics architects and engineering teams to support scalable data modeling, ETL pipelines, compute frameworks, and API design for portfolio aggregation and analytics.
Deliver analytics capabilities including portfolio aggregation and drill-downs, exposures and factor analytics, benchmark and relative performance views, risk and return metrics, scenario analysis, optimization, and diagnostic workflows.
Drive adoption by partnering with Sales, Marketing, Managed Services, and Customer Success to gather feedback, prioritize enhancements, and measure usage.
Embed data governance, security controls, and regulatory compliance throughout the product lifecycle, including lineage, quality checks, and operational readiness.
Define and monitor product metrics such as adoption, reliability, latency, and accuracy to inform prioritization and user experience improvements.