Solutions Engineering Leader · Financial Services & Insurance · Applied AI & Enterprise SaaS

Insurance and capital-markets technology, from every seat at the table.

Enterprise presales and GTM leader who has influenced, supported and originated $30M+ in enterprise revenue at Salesforce and Mphasis Silverline - specializing in complex multi-cloud architectures, technical deal strategy and player-coach team leadership.

Institutions served Identities withheld

  • Fortune-100 life & annuities carrier
  • Alternative-investments arm of a U.S. life & retirement carrier
  • Top-tier U.S. asset manager
  • One of the largest U.S. credit unions
  • Top Canadian life insurer
  • Bermuda-based insurer for high-net-worth clients
  • U.K. real-estate investment manager

Impact in figures

$30M+

Enterprise revenue influenced, supported and originated across U.S. and U.K. markets

  • $18.7M+

    Influenced and supported across 70+ opportunities in the first 14 months at Salesforce

  • £5.9M+

    Influenced and supported on a nine-month London and EMEA rotation

  • $6.3M

    Originated in first-year practice revenue, carrying a $3.4M quota

12+ years in regulated financial services14,000+ daily users on the agency sales and marketing platform built at New York Life

01 - Profile

Where the architecture meets the commercial case

I am a Solutions Engineering and Consulting Leader with just under 13 years of experience shaping enterprise SaaS platforms for life, annuity, P&C, and alternative-investment businesses across U.S. and U.K. markets. Having sat in every seat at the enterprise software table - implementer at Deloitte, carrier-side architecture lead at New York Life, Principal Solutions Engineer at Salesforce, and practice-building Director at Mphasis - I know what implementers can deliver, what carriers will adopt, and what vendors can actually prove.

My consulting-led motion focuses on complex, regulated environments. I run disciplined discovery, shape the commercial and technical case, and stay accountable through integration. This approach has influenced, supported, and originated over $30M in enterprise revenue - including $18.7M+ across 70+ opportunities in my first fourteen months at Salesforce, a further £5.9M+ on a nine-month London rotation in 2022-23, and $6.3M in first-year practice revenue at Mphasis Silverline while carrying a $3.4M quota.

My domain depth runs through the insurance core - policy administration, new business and underwriting, rating and quoting, servicing, billing and claims - across life & annuities, retirement, group benefits and P&C distribution, and into private-markets GP/LP operations, capital formation, and clearing & custody. I ground applied AI at the orchestration layer: agentic design, data readiness, and the industry data standards - ACORD and FIBO - that let business meaning be defined once.

02 - Career arc

Four seats at the enterprise-software table

Few practitioners have built, bought, sold and delivered the same class of platform. Each seat exposes a different constraint: what implementers can deliver, what carriers will adopt, what vendors can prove, and what partners can sustain.

  1. 01

    Implementer

    Deloitte Digital 2013 - 2019

    Built CRM and modernization programs in regulated industries, and the firm’s early insurance industry-platform capability.

  2. 02

    Buyer

    New York Life 2019 - 2021

    Led the ground-up platform build from the carrier side: a 900-user service organization and an agency sales organization of 14,000+ daily users.

  3. 03

    Vendor

    Salesforce 2021 - 2024

    Principal solutions engineer for insurance and financial services across U.S., U.K. and European accounts.

  4. 04

    Services partner

    Mphasis Silverline 2024 - 2025

    Director who co-led the insurance practice, stood up capital markets, and sold then delivered the work.

Full career record

Point of view

Control is not friction. In a regulated enterprise, control is the product.

AI makes capability cheap. What regulated firms still pay for is permission - identity, audit, revocation and a cost they can forecast. That is where the value settles.

The Constraint Premium

03 - Core competencies

Three pillars, mapped to evidence

Presales and solutions engineering leadership, the financial-services domains behind it, and the stack it is delivered on. Each line corresponds to a role, program or pursuit on the record.

SE-LEADCore craft

PreSales & SE Leadership

  • Demo strategy & proof-of-concept management
  • Deal architecture & technical win strategy
  • Value selling, value engineering & business cases
  • Executive discovery & C-suite engagement
  • RFP, RFI & proposal leadership
  • Player-coach leadership of solution architects & analysts
  • Effort estimation, commercial constructs & SOWs
  • Practice development & enablement
DOMAINFinancial services

Domain Focus

  • Insurance: life, annuities, retirement & long-term care
  • Group & employee benefits
  • P&C, specialty & multi-carrier distribution
  • Insurance core: policy administration, underwriting, rating & quoting, claims
  • Capital markets: alternative investments, GP/LP operations & capital formation
  • Clearing & custody
  • Banking & credit unions
  • Wealth & asset management (WealthTech)
STACKPlatforms & applied AI

Tech Stack

  • Generative & agentic AI at the orchestration layer (Agentforce)
  • Salesforce Financial Services, Sales & Service Cloud
  • Salesforce Industries (Vlocity) & OmniStudio
  • Data Cloud, data readiness & canonical data models
  • MuleSoft, API-led integration & microservices
  • Model Context Protocol (MCP)
  • ACORD & FIBO data standards
  • Mainframe coexistence & modernization

05 - Research & writing

The Constraint Premium

Why the machines will do the work, and someone else will collect the rent.

Capability is getting cheap; permission is not. The thesis argues that as AI agents take on enterprise work, durable value accrues to the governed layer that decides what an agent may do, under whose authority, and with what evidence left behind - and it proposes two metrics for the context cost that agentic systems currently leave unattributed.

Read the research summary

Writing in progress

All publications
  • The Constraint Premium

    Business book proposal · International prize for emerging business authors

    In preparation2026
  • The semantic layer as control point

    Feature article · Peer-reviewed software-engineering publication

    In preparationQ4 2026
  • Agents do the work; enterprise software keeps the rent

    Viewpoint · Computing practitioners’ journal

    In preparationQ4 2026
  • What dominates the bill of an agentic system

    Practice article · Practitioner journal

    PlannedAfter Tier 1 measurements

Hiring conversations

Solutions engineering and presales leadership

For enterprise software companies, consultancies and financial institutions building solutions engineering, presales and solution architecture teams - in insurance, capital markets and applied AI.