Head of Data Science

4 weeks ago

delhi, India Datamatics Full time
ROLE: Head of Data Science & Analytics
Reporting Manager: President
Overview:
He/ She will be leading the global delivery team to build a highly scalable and extensible Analytics/ Data Science/ Data Engineering team that provides the foundation for collecting, storing, modelling, and analysing massive data sets from multiple channels
The ideal candidate will have demonstrated experience in delivery management, project planning, resource planning, delivery quality, maintain margins and customer satisfaction
This is a Data analytics & engineering leadership role for a strong leader that loves to operate in trenches with the team
Key Responsibilities:
A leadership position in the Advanced Analytics and Data Sciences practice
Responsible for business growth (order booking) and establishing company as a thought leader in the Analytics space
Build offerings, platforms, solutions and capabilities - to create differentiating position for Company in the market
Build solutions and capabilities -focusing on leading edge technologies such as AI/ML- collaborating with Company labs.
Establish and nurture strategic relationships with partners and vendors
Engage with customers as a thought leader by building and leading an elite pool of architects/specialists/data scientists
Work with other practices to drive Analytics led transformation of offerings as well as the way we deliver our services and value propositions.
Manage Presales, Solutioning, Sales Enablement responsibilities for the practice
As a people manager, build and nurture a talented pool of specialists
Establish connects with industry stakeholders and manage analyst relationships
Desired Skills & Behaviours:
High preference for a PhD in one of the following fields from a premier institute:
Physics, Electrical Engineering, Mathematics, Computer Science, Statistics
Overall experience of 20+ years. 15+ years of relevant experience in Data Science /Data Analytics Domain
Experience with implementing data governance models and processes in a large, highly complex business environment for at least 5 years
In-depth experience of data/information management practices, systems and processes including information lifecycle management, data modelling, master data management, meta-data management
Cross-industry experience highly preferred. 4+ years of international experience working with Global teams
3-5 years of experience as an IT/Technology Head/Leader
Prior experience in handling portfolio of Enterprise Data Management , Data Science Domain with Latest AI Trends
Fluent in structured and unstructured data, its management, and modern data transformation methodologies.
Demonstrated industry experience to:
Define and create complex models to generate valuable insights from real world data (large, sparse, and noisy datasets)
Deploy such models into production environments.
Have a deep and thorough understanding of the latest state-of the art AI technologies. Have a detailed understanding of all main network architectures, deployment modes, data augmentation and preparation, and performance analysis of model architectures
Excellent communication (written, verbal, and public speaking) as well as time management skills.
Ability to plan and execute operational and strategic activities.
Excellent interpersonal & communication skills, including scientific writing, presenting, and formal briefings.
Ability to evolve with a rapidly changing environment.
Maintains knowledge of current and emerging technologies.
Self-directed and responsive to customer expectations.
Strong analytical and logical problem solving skills.
Strong interpersonal communication and relational skills, good organizational and project management skills; sound judgment; initiative; flexibility; detail-oriented.
KPI of this Role:
Grow & Maintain Revenue
Team development
Improve Client CSAT
Maintain Margin
Define Value of Delivery
Accountability during a Project Lifecycle:
Fulfilment check during proposal phase
Margin health
Feasibility
Training & Interview prep
Offshore team onboarding
Day to day Delivery
Common delivery plan across Data Analytics/ Data Science/ Data Engineering/ Devops/ UI & iteration on delivery plan
Continuous customer expectation setting
Delivery quality
Timeliness of Delivery
Risk prediction
Team procurement & replacement
Renewal & Handoff.

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