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Portfolio & GTM Lead - Data, AI & Alliances; Financial Services

Job in New York, New York County, New York, 10261, USA
Listing for: Capgemini
Full Time position
Listed on 2026-09-14
Job specializations:
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 180000 - 250000 USD Yearly USD 180000.00 250000.00 YEAR
Job Description & How to Apply Below
Position: Portfolio Growth & GTM Lead - Data, AI & Alliances (Financial Services)
Location: New York

Location - NY / NJ (Day One Onsite - Hybrid) Position Summary

  • The Portfolio Growth & GTM Lead (Financial Services) spearheads commercial sales expansion, bespoke deal curation, and Go-To-Market (GTM) strategy for the Cloud Data & AI practice across our Banking and Insurance portfolio.
  • Built on a 12+ year ground-up technical career path, this role requires a professional who can switch effortlessly between commercial negotiation and deep architectural design. You must possess the hands-on technical authority to independently command deep-dive technical discussions with client Enterprise Architects, Principal Engineers, and Chief Data Officers (CDOs).
  • Rather than relying on pre-sales engineers to carry the technical conversation, you will personally white-board, challenge, and shape cloud data and AI architectures.
  • You will use this technical credibility to co-sell with ecosystem partners (
    AWS/GCP and Databricks
    ), collaborate with internal industry Business Units (BUs), and systematically mine complex financial services accounts.
Key Responsibilities 1. Hands-On Technical Discussion & Architecture Leadership
  • Command Technical Conversations
    :
    Independently lead technical deep-dives, white-boarding sessions, and architecture reviews with client enterprise architects, data engineering leads, and cloud infrastructure teams.
  • Challenge and Validate Stacks
    :
    Critically evaluate legacy financial data environments and architect modern target states, confidently defending design decisions around data streaming, partition strategies, governance, and model serving.
  • Bridge Tech and Business
    :
    Translate complex financial business imperatives (e.g., real-time credit scoring, fraud detection, actuarial modeling) directly into robust technical blueprints.
2. FS-Specific Deal Curation & Sales Execution
  • Lead Complex Pursuits
    :
    Drive the commercial lifecycle for modern cloud data migrations, enterprise lake houses, and AI initiatives tailored to tier-1 and regional banks, wealth managers, and insurance carriers.
  • Curate Bespoke Financial Solutions
    :
    Personally author and structure high-impact technical proposals and SOWs that address industry-critical workloads (e.g., core legacy modernization, regulatory reporting, customer 360, claims automation).
  • Hold the Commercial Thread
    :
    Act as the single guiding deal owner from initial partner mapping through technical solution shaping, pricing strategy, commercial negotiations, and contract closure.
3. GTM Strategy & Industry Offer Incubation
  • Build Repeatable FS GTM Offers
    :
    Package core practice capabilities into domain-centric, market-ready offerings (e.g., Oracle or MongoDB-to-Databricks migration blueprints for core banking, Salesforce Data Cloud integration frameworks on AWS/GCP, or AI-driven underwriting data pipelines).
  • Collaborate Across Internal Industry BUs
    :
    Partner closely with Financial Services vertical leaders, core banking/insurance account executives, and client partners to position and embed Cloud Data & AI services into enterprise-wide transformation bids.
4. Alliance Co-Selling & Active Account Mining
  • Monetize Partner Relationships
    :
    Cultivate deep, field-level relationships with Partner Sales Managers (PSMs), Partner Solution Architects (PSAs), and financial services industry leads at AWS or GCP and Databricks
    .
  • Systematic Account Expansion
    :
    Proactively analyze data architectures within existing banking and insurance accounts to uncover follow-on opportunities (e.g., expanding an initial lakehouse pilot into enterprise feature stores, model governance, or real-time payment ingestion).
Required Qualifications
  • Experience
    : 12+ years of total IT professional services, systems integration, or technology consulting experience, with a dual track record in technical…
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