2 Client Segmentation Jobs

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Senior Principal Consultan t- Senior Data Modeler - Wealth Management. We are seeking a seasoned Senior Data Modeler with deep expertise in Wealth Management to provide thought leadership in data deliveries . This role focuses exclusively on data modeling and domain expertise , bridging wealth management business processes with robust data architecture to drive operational efficiency, advanced analytics, and automation. The ideal candidate will leverage their comprehensive understanding of key sub-business domains within Wealth Management to design scalable, future-proof data models that align with evolving business needs. Key Responsibilities Deep Domain Expertise : Leverage in-depth knowledge of key sub-business areas within Wealth Management such as portfolio management, risk analysis, client segmentation, and asset allocation, to design and refine data models. Develop data models that address core business functions and industry challenges, ensuring they are aligned with evolving operational needs. Translate complex business processes into well-structured data architectures that support both transactional (OLTP) and analytical (OLAP) environments. Collaboration & Leadership : Collaborate with diverse stakeholder groups including decision-makers, analysts, operational users, and compliance teams. Engage with these personas to gather and interpret data requirements, ensuring models are tailored to drive actionable insights and support effective decision-making. Build empathy-driven models that reflect the real-world needs and challenges of each user group. Provide technical guidance and mentorship to junior data modelers and analysts. Facilitate review sessions and present model designs to stakeholders. Compliance & Regulatory Considerations: Integrate industry-specific compliance and regulatory frameworks (e.g., SEC, FINRA, GDPR/CCPA) into data models to ensure data integrity and auditability. Work closely with compliance teams to ensure that data architectures meet all regulatory requirements relevant to the Wealth Management domain. Technical Excellence : Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner , or equivalent) to develop and maintain models. Stay current with emerging trends and technologies in data management, data warehousing, and analytics. Collaborate with ETL developers and database administrators to ensure seamless data integration and performance optimization. Process Improvement : Identify opportunities for process improvements and automation within business data workflows. Support continuous improvement initiatives to streamline business operations and reporting. Qualifications we seek in you! Minimum Qualifications Bachelor&rsquos degree in business information systems (IS), computer science or related field, or equivalent-related IT experience Extensive experience in data modeling and data architecture, specifically in the Wealth Management domain. Prior experience working closely with various diverse stakeholder groups to capture detailed data requirements Proven expertise in designing and managing data models for wealth management processes (portfolio management, risk analysis, client segmentation, asset allocation, etc.). Preferred Qualifications/ Skills Strong hands-on experience in relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols). Expertise in data modelling principles/methods including conceptual, logical & physical data models. Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required . Strong knowledge of data modelling, and related tools (Erwin or ER Studio or PowerDesigner or others) required . Strong understanding of Wealth Management business processes, including portfolio management, risk analysis, client segmentation, asset allocation, etc. Ability to clearly translate complex data models into actionable business insights. Excellent analytical, problem-solving, and communication skills. Strong interpersonal skills and the ability to work collaboratively with both technical and business teams. Knowledge of compliance and regulatory requirements (e.g., SEC, FINRA, GDPR/CCPA). Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Job Title: Marketing Executive Job Summary: The Marketing Executive will develop and execute data-driven B2B marketing campaigns to strengthen client relationships and drive loyalty within our Travel Care business line. This role emphasizes content creation and managing personalized campaigns across various channels using advanced analytics and segmentation. Key Responsibilities: Campaign Strategy: Develop and execute B2B marketing campaigns for the Travel Care line. Content Creation: Create engaging content for email, LinkedIn, and other digital platforms, ensuring alignment with brand objectives. Graphic and Video Content: Design graphics using Photoshop and produce videos with Premiere Pro to support campaigns. Client Journey Management: Design and manage client journeys for seamless interactions. Market Analysis: Conduct research to identify trends and target audiences. Performance Tracking: Analyze campaign performance metrics to optimize strategies. Collaboration: Work with sales, product, and customer service teams for campaign alignment. Personalization: Utilize tools for personalized communication across multiple channels. Client Segmentation: Manage client segments for targeted engagement. AI-Based Insights: Leverage AI-driven analytics to enhance engagement strategies. Omnichannel Optimization: Refine campaigns based on performance data and feedback. Key Qualifications: Education: Bachelors degree in Marketing, Business, Communications, or related field. Experience: Proven B2B campaign management experience, preferably in the travel industry. Skills: Proficiency in marketing automation tools (e.g., Marketo, HubSpot). Strong analytical and project management skills. Knowledge of digital marketing strategies. Expertise in AI-driven personalization. Proficiency in Adobe Photoshop and Premiere Pro. Familiarity with customer engagement platforms and AI tools.