New York, NY Databricks GTM Lead NY 10001

Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Job Location Job is located in NY - Onsite Hybrid Your Role Key Responsibilities 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 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 Qualifications Experience: 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. Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, inclu