Assistant Vice President- Lead, Data CoE, GIU

1 month ago

gurugram, India Genpact Full time

With a startup spirit and 115,000 + curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it We dream in digital, dare in reality, and reinvent the ways companies work to make an impact far bigger than just our bottom line. We’re harnessing the power of technology and humanity to create meaningful transformation that moves us forward in our pursuit of a world that works better for people. 

Now, we’re calling upon the thinkers and doers, those with a natural curiosity and a hunger to keep learning, keep growing. People who thrive on fearlessly experimenting, seizing opportunities, and pushing boundaries to turn our vision into reality. And as you help us create a better world, we will help you build your own intellectual firepower. 

Welcome to the relentless pursuit of better.

Inviting applications for the role of AVP- Lead, Data CoE, GIU

We are seeking a highly skilled and motivated individual to join Genpact as a Lead for the Data COE (Center of Excellence) within the GIU (Growth Intelligence Unit). GIU provides accounts, competitive intelligence, and knowledge insights to our front-end teams to help them with the next best action to help them sell more and sell better.

As the Lead of the Data COE, your primary objective will be to leverage all existing proprietary, third-party, and client data to prepare meaningful dashboards that enable data-backed insights. You will also be responsible for integrating different datasets to provide forward-looking actionable insights and setting up the right infrastructure to ensure fast and efficient access to information for anyone at Genpact. Additionally, you will play a crucial role in infusing analytics across the market and competitive intelligence teams.

Responsibilities

Collaborate with the Growth Operations team to create a data lake from different sources, including internal data sources as well as 3rd party databases.

Setup the right infrastructure to create data lake and data-driven infrastructure.

Create data-driven dashboards to derive insights, trends, and forecasts.

Based on the data & insights, work closely with GIU leads (Competition and GTM teams) to support problem-solving, hypothesis generation, research, and insight generation, ensuring high-quality output.

Strong storytelling and data visualization skills to translate data into insights & actionable leadership stories

Interpret and break down case requirements into actionable task items for the team, ensuring efficient and effective execution.

Lead focused meetings on owned project workstreams, effectively delivering business insights to project leadership.

Embrace challenging analytical problems and stay updated with the market to develop cutting-edge solutions across disciplines.

Contribute to thought leadership exercises aimed at establishing a blueprint for cloud-based deployment of analytical and/or data-driven solutions to enhance the overall insights-generation capabilities.

Support the process of translating business problems into machine learning (ML) problems and create ML solutions to produce desired customer business outcomes.

Qualifications we seek in you

Minimum Qualifications

Bachelor's degree in a relevant field (e.g., Computer Science, Data Science, Statistics, etc.). Advanced degree preferred.

Mathematics and statistics background is preferred in addition to experience building complex machine learning models.

Preferred Qualifications/ Skills

Strong experience in data-based visualization & storytelling

Strong experience in data analytics, business intelligence, or related fields.

Demonstrated technical experience working with technologies related to industrialization of artificial intelligence, machine learning and/or deep learning. 

Hands-on experience in building complex statistical models in some of the following:

Supervised – Classification, Regression, Time Series forecasting

Unsupervised – Clustering, Anomaly detection

Prescriptiveanalytics – Linear and non-Linear optimization

Strong communications skills should be able to drive discussion/presentations with senior stakeholders and client maps.

Excellent implementation skills in Python and/or R, SQL and (preferably) PySpark with hands-on experience of analytical tools and techniques such as Power BI.

Well versed in dealing with large datasets and using ML/DL libraries or packages

Deep understanding of the Gen-AI tooling ecosystem including knowledge and experience of Kubernetes, MLOps and AIOps tools (mandatory)

Proficient with Excel, and PowerPoint

(Good-to-have) Familiar with Cloud services (AWS) related to AI/ML

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