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Delivery Head- Analytics
2 months 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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