Job LocationJob is located in NY - Onsite Hybrid
Your Role Key ResponsibilitiesHands-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 analyse data architectures within existing banking and insurance accounts to uncover follow-on opportunities (e.g., expanding an initial lake house pilot into enterprise feature stores, model governance, or real-time payment ingestion
Required QualificationsExperience: 12+ years of total IT professional services, systems integration, or technology consulting experience, with a dual track record in technical architecture and commercial deal origination.
Command-Level Technical Depth & Ground-Up Pedigree
Relational Database Expertise: Proven hands-on career background developing, tuning, and modernizing complex data environments built on Oracle (e.g., Oracle RAC, PL/SQL, Exadata, legacy banking core databases).
NoSQL Document Store Expertise: Practical experience designing and optimizing operational or transactional data layers utilizing MongoDB (e.g., sharding, indexing, aggregation frameworks for financial apps).
Customer Data & Hyper-Personalization: Comprehensive architectural understanding of Salesforce Data Cloud (formerly Genie/CDP), including data ingestion, identity resolution, activation, and harmonizing CRM data with downstream lakehouses.
Cloud Ecosystems: Extensive experience architecting, sizing, and deploying production-grade data infrastructure on either Amazon Web Services (AWS) or Google Cloud Platform (GCP)
The base compensation range for this role in the posted location is: 180000 - 230000
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
