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Assistant Vice President Data Engineering @ Genpact India

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 Assistant Vice President Data Engineering

Job Description

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With a startup spirit and 80,000+ curious and courageous minds, we have the expertise to go deep with the world s biggest brands and we have fun doing it. Now, we re calling all you rule-breakers and risk-takers who see the world differently, and are bold enough to reinvent it. Come, transform with us.

Inviting applications for the role of Assistant Vice President Data Engineering Product Leader

Genpact s Data Engineering is a prioritized strategic focus area. As a part of our market leading analytics organization, we have been investing in growing Data Engineering technology to describe the Augmented Analytics spectrum ranging from domain, data science, data engineering, Machine Learning and Augmented Intelligence.

We are looking for an enthusiastic and experienced Product Leader to provide both people and program leadership in our Data Analytics domain. They will have the opportunity to impact product development at an enterprise level from the idea stage to full production.

Primary focus will be to develop solutions for internal customers as it relates to their data needs. The Product Leader is responsible for defining and executing the product strategy and roadmap for the data platforms supporting analytics, customer-facing Business Intelligence, Simulation and Machine Learning/Deep Learning. Through close cooperation with other product leaders and stakeholders across the organization, the Product Leader should exhibit full ownership of the assigned data assets, their capabilities and future direction.

Responsibilities

  • Take a customer-first approach to owning the roadmap and ensuring successful product launches across web and mobile
  • Define product strategy and feature roadmap for the development, evolution, and transformation of our data foundations supporting BI, client reporting and Artificial Intelligence / Machine Learning projects
  • Prioritize features and development efforts based on thorough understanding of customer and business needs, company strategy and portfolio initiatives
  • Collaborate with teams to help them understand the product s key capabilities and benefits; understand their needs to enhance adoption of product
  • Work with customers and leaders to validate concepts, vision, and roadmaps
  • Effectively collaborate with multiple stakeholders, product owners and teams to efficiently manage the distribution of backlog items to development teams.
  • Oversee and provides guidance for solutions to complex technical problems by challenging traditional technical assumptions.
  • Identify any gaps in functionality or user experience proactively
  • Monitor the landscape for new ideas and features.
  • Maintain program objectives, success measurements or key performance indicators (KPIs)
  • Interface with Analytics (Intelligent Operations) verticals and the Advanced analytics productization groups
  • Drive revenue growth by proactive proposals, solution workshops and RFP responses

Qualifications

Minimum Qualifications

  • Data engineering (Enterprise Information, Data Warehousing, Data Lakes, Cloud Platforms etc)
  • Deep hands on expertise in E2E product/solution life cycle management (Ideation, Initiation, User Stories, Rapid Prototyping, Full Development, Maintenance, Customer Experience & Visualization, Show & Tell, Go To Market GTM) in the Data Management space
  • Industry domain experience in one or more of Lifesciences, Consumer products, Capital Markets, Private Equity, Capital Markets, Banking, Insurance, Industrial Manufacturing or Hospitality
  • Strong technical understanding of modern data architecture (Cloud, SaaS, , Big Data)
  • Ability to shape and execute strategy for technical products through a roadmap and tight collaboration with engineering
  • Demonstrated experience with Analytics implementations and/or data and reporting projects
  • Understanding of analytic Cloud modernized data architecture and data modeling concepts and principles, including Cloud data lakes, warehouses and marts, dimensional modeling, star schemas, real time and batch ETL/ELT
  • Experience with cloud-based analytic databases such as Snowflake and BigQuery
  • Prior experience with SDLC and Agile working methodologies/environment is preferred
  • Prior experience working with Data Scientists to put Machine Learning models into production is preferred
  • Excellent communication and client facing skills

Preferred Qualifications

Graduate / Post Graduation degree in Business, Computer Science or Quantitative Sciences

Data engineering (Enterprise Information, Data Warehousing, Data Lakes, Cloud Platforms etc)

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 diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visitwww.genpact.com. Follow us onTwitter, Facebook, LinkedIn, and YouTube.

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Employement Category:

Employement Type: Full time
Industry: IT - Software
Role Category: Finance / Accounts / Tax
Functional Area: Not Applicable
Role/Responsibilies: Assistant Vice President Data Engineering

Contact Details:

Company: Genpact India
Location(s): Bengaluru

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Genpact India

Genpact (NYSE: G) is a global professional services firm focused on delivering digital transformation for our clients, putting digital and data to work to create competitive advantage. We do this by integrating lean principles, design thinking, analytics and digital technologies with our domain and ...