Job summary
Job post source
This job is directly from Genpact
Job overview
The Senior Manager, Data Architect at Genpact leads the design and implementation of scalable data architectures to support advanced analytics, AI/ML, and GenAI solutions, playing a strategic role in shaping the company's data strategy.
Responsibilities and impact
The role involves designing and implementing scalable data architectures, developing data models, leading data lake and platform evolution, ensuring data governance and security, collaborating with cross-functional teams, mentoring data engineers, and driving strategic planning for data initiatives.
Experience and skills
Requires 10+ years in data architecture or related fields with 3+ years in leadership, expertise in data lakes and modern platforms (AWS, Azure, GCP), strong data modeling skills, experience with AI/ML data architecture, and excellent communication and leadership skills; healthcare industry experience and certifications are preferred.
Career development
Genpact offers hands-on experience, mentorship, continuous learning opportunities, and career acceleration in a cutting-edge technology environment.
Work environment and culture
Genpact promotes a values-driven culture emphasizing courage, curiosity, integrity, inclusion, and innovation in a dynamic work environment.
Company information
Genpact is a global advanced technology services company focused on AI, automation, and digital innovation, serving enterprises worldwide with cutting-edge solutions and operational excellence.
Team overview
The candidate will collaborate with data engineering, data science, product management, and business stakeholders as part of the data and analytics organization.
Job location and travel
The position is located onsite in Fort Worth, TX.
Unique job features
The role offers the opportunity to work on advanced AI and digital innovation projects, including GenAI, within a leading global technology services company.
Company overview
Genpact is a global professional services firm that focuses on delivering digital transformation through its expertise in business process management and technology services. The company generates revenue by providing services such as finance and accounting, procurement, supply chain management, and IT services to clients across various industries, including banking, insurance, healthcare, and manufacturing. Founded in 1997 as a business unit within General Electric, Genpact became an independent company in 2005 and has since grown through strategic acquisitions and a strong emphasis on innovation and client-centric solutions.
How to land this job
Position your resume to highlight your extensive experience in designing and implementing scalable, secure data architectures, especially for AI/ML and GenAI solutions, to align with Genpact's cutting-edge technology focus.
Emphasize your leadership skills in managing enterprise data architecture, collaboration with cross-functional teams, and expertise in cloud platforms like AWS, Azure, or GCP, along with modern data tools such as Snowflake, Databricks, and PySpark.
Apply through multiple platforms including Genpact's official careers page, LinkedIn, and other reputable job boards to maximize your application's visibility and reach.
Connect with current Genpact employees in the data and analytics division on LinkedIn; use ice breakers like commenting on recent AI initiatives at Genpact or asking about their experience working in the AI Gigafactory to start meaningful conversations.
Optimize your resume for ATS by incorporating key terms from the job description such as 'data lakes,' 'data modeling,' 'cloud-native platforms,' 'AI/ML,' 'data governance,' and specific tools like 'Snowflake' and 'Databricks' to ensure it passes automated screenings.
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