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    Delivery Head- Analytics - Bengaluru, India - Webologix Ltd/ INC

    Webologix Ltd/ INC
    Webologix Ltd/ INC Bengaluru, India

    23 hours ago

    Default job background
    Technology / Internet
    Description

    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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