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Delivery Head
4 weeks ago
Job Title : Delivery Head- Analytics / Data Science
Location : Bengaluru, KA
Job Description :
Role :
This is a leadership position in the Data and Analytics group.
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
He / She will be an integral part of the core group which will work towards the growth of the company.
He/she will nurture a diverse team including a range of activities from hiring, guiding and evaluating performance
Leveraging thought leadership to design solutions that solve complex problems for customer, hence growing accounts
Responsibilities :
Business focus
Strategic mind set: You are planning for growth of account and scale up the account with
reasonable investments.
Handle budget planning, spend and tracking for your area of responsibility.
Set up the organization & processes to enable timely delivery of projects with high quality.
Customer focus
Prior consulting industry experience for North America or European geographies
Set customer expectations and outperform them with delivery.
Interface daily with customers across leading Fortune 500 companies to understand strategic requirements
Travel to client Locations
Delivery
You would be required to own customer deliverables and ensure, along with project managers, that the project schedules are in line with the expectations set to the customers
Partner with delivery team to collate, analyse and present data and drive clear
Insights to lead decisions that improve KPIs.
People management
Team building
Identify the right talent to build the team to solve customer problems
Build a training program to help tailor the talent for project success
Mentorship
Mentor & grow Engineering Managers & Technical Project Managers to leadup these individual units.
Provide guidance and mentorship to less-experienced team members.
Culture
What kinds of performance is rewarded/encouraged vs punished/discouraged with the alignment with company cultural value system,
What is the group doing for fun,
Voice of the team - Know & understand their pain and challenge - Putting effort to make team morale high.
Technical Focus
Management knowledge in data system development, software development, deployment. Ability to dive into details with engineers and distil to a high level for executives, customers and non-technical audience.
Oversee Architecture & design of technically robust, flexible and scalable solutions.
Align with Technical leadership to influence, guide & champion adoption of best practices to build scalable architecture though process
Experience in defining technical requirements for data extraction, data transformation, automating jobs, productionizing jobs, and exploring new Data and Analytics technologies within a Parallel Processing environment
Qualifications:
18+ years of overall experience with a minimum of 10+ years in Data Analytics/ Data Science execution
Experience in Cloud (AWS, Azure or GCP)
Demonstrable leadership, superior problem solving and people management skills with an ability to blend creativity and logical thought to innovatively think through a problem and develop solutions
Experience owning P&L targets
Experience in providing strategic perspective/guidance on analytical solutions in relevant domains
Demonstrable sustained client relations management experience at a C-suite level or operated at a senior management level in the industry role
Experience in building, leading & managing large multi-engineer projects and mentoring top-notch engineers in consulting companies
Desired Skills:
Experience in influencing senior stakeholders, whether business or technical
10+ years of hands-on management experience
Process Improvement or Project Management experience
KPI of this Role:
Grow & Maintain Revenue
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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