2 open positions available
Lead and advise on data modernization and AI initiatives for investment management clients, building long-term relationships and growing the practice. | Over 12 years of experience in investment management, proven success in large-scale data and AI projects, and senior leadership capabilities. | This is Ruban Alwin, Senior Recruitment Executive with Galent. We’re Looking for Sr. Engagement Lead for one of our Direct Client. Job Information: Position: Engagement Lead / Client Partner - Investment Management (Data Analytics & AI) Location: New York, NY (Hybrid) Duration: Full Time Key Responsibilities: • Strategic Advisory: Act as a thought partner to senior executives and CXOs; build trusted relationships and influence strategic decision-making. • Solution Leadership: Shape and drive innovative strategies in data modernization, advanced analytics, and AI that deliver measurable business outcomes. • Client Engagement: Cultivate long-term, trust-based relationships with senior stakeholders; proactively identify emerging needs, opportunities, and original ideas. • Practice Growth: Contribute to firm-wide leadership by expanding the asset management vertically with differentiated and scalable offerings. • Leadership: Represent the firm’s senior leadership team in client interactions; collaborate across delivery, consulting, and managed services. • Team & Capability Development: Mentor, recruit, and develop project leads and consultants; contribute to culture-building, knowledge development, and internal initiatives. Key Qualifications: • 12+ years of relevant experience in the investment management industry, with demonstrated success in winning business and growing client accounts. • Recognized executive presence, deep domain expertise, and the ability to navigate and influence complex client organizations. • Proven track record of designing and delivering large-scale data, analytics, and AI-driven transformation initiatives. • Strong relationship-building and advisory skills; ability to engage at the highest levels and operate effectively in politically complex environments. • Entrepreneurial mindset, proactive, visionary, and capable of shaping new opportunities. Regards, Ruban Alwin
Develop and maintain data pipelines and ETL processes using Python and SQL on cloud platforms, leveraging DevOps tools and data architecture best practices. | Proficiency in Python, SQL, ETL, cloud databases, DevOps tools, GCP Data Architecture, MDM concepts, Snowflake, Django, and data modeling with experience in Agile environments. | Note: The job is a remote job and is open to candidates in USA. Galent is a company seeking a Data Engineer with expertise in Python and SQL. The role involves developing data pipelines, working with cloud-based databases, and utilizing various tools and frameworks to enhance data architecture and ETL processes. Responsibilities • Good proficiency in Python programming • Experience working with ETL framework on python and creating data pipelines • Good understanding of SQLPLSQL • Experience working with any Cloud based Database like Single store • Knowledge of DevOps CICD Pipelines development tools Jenkins Docker Git etc • Knowledge on Yaml programming • Knowledge on basics Unix commands • Experience Working in Agile delivery model • Experience working in Snowflake • Django framework • Experience working in AWS or any cloud environments • Exposure to Data virtualization tools like Denodo • Knowledge on job schedulers like AutoSys • GCP Data Architecture • MDM Conceptual • Data Architecture • Data lakehouse Architecture • Dimensional Data Modeling Skills • Good proficiency in Python programming • Experience working with ETL framework on python and creating data pipelines • Good understanding of SQLPLSQL • Experience working with any Cloud based Database like Single store • Knowledge of DevOps CICD Pipelines development tools Jenkins Docker Git etc • Knowledge on Yaml programming • Knowledge on basics Unix commands • Experience Working in Agile delivery model • Mandatory Skills : GCP Data Architecture, MDM Conceptual, Data Architecture, Data lakehouse Architecture, Dimensional Data Modeling • Experience working in Snowflake • Django framework • Experience working in AWS or any cloud environments • Exposure to Data virtualization tools like Denodo • Knowledge on job schedulers like AutoSys Company Overview • Galent is an AI-native digital engineering firm at the forefront of the AI revolution, dedicated to delivering unified, enterprise-ready AI solutions that transform businesses and industries. It was founded in 2024, and is headquartered in , with a workforce of 501-1000 employees. Its website is https://www.galent.com.
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