Engagement/Delivery Manager - Big Data/Hadoop

Our reputed IT Client from Chennai is looking for a DS/DA with Hadoop/Big Data experience to be placed at their Client Site, Hyderabad. Compensation Best as per Industry standards. Someone who can join immediately/One month would be preferred.

Engagement / Delivery Manager

Candidate will perform a range of activities demonstrating analytical thought leadership that will ultimately contribute to the successes of business and functional teams across clients.

Candidate will think from client perspective at all times and will be involved in leading multiple data-driven projects including, but not limited to,

- Design of KPI tracking systems for complex company-wide metrics across various Client products and teams globally

- Performing analytical deep dives to drive product/strategy road-map

- Design of efficient analytical data mart that mimic product flow at scale

Lead Delivery

- Do all that it takes to drive and deliver multiple analytical and data engineering projects to partner team across client requirement.

- Taking the lead on problem scoping, vendor resource planning, solution design sprints, solution development, QA & Implementation.

- Setting up of processes for delivery including program documentation, Internal/external review & quality assurance

- Ensuring thought leadership by working with Data Science/Data analytics/Data engineering experts within and outside client requirement to drive best in class solution delivery

Manage Team

- Work towards defining/refining the team's evolving vision and charter

- Mentor program managers and play an active role in their career development process

- Take responsibility for technical skill-building within the team (training, process definition, research of new tools and techniques, etc)

- Maintain motivation of team on the program. Track internal metrics such as utilisation, attrition, Budget Vs Spend and ensure metrics are within targets

- Develop a robust vendor partner ecosystem to ensure on time availability of high quality talent

- Assist with ramp up activities including selection/evaluation of analyst and project allocation. Align ramp-up plan to current and future projects

Program/Engagement Management

- Closely liaise with Internal partner team and provide regular updates on project delivery covering aspects such as quality, timelines, risk and issue Management

- Translate analytical solution into actionable insights & recommendations for technical & non-technical audience in a clear, concise and persuasive way

- Set up & drive overall program governance at all levels through relevant KPIs / metrics

- Streamline the budgeting, invoice tracking, Impact and ROI measurement process

Requirement:

- BE/BTECH/ MCA

- A minimum of 7 years- experience in a related position, as a Data engineering/Analytical delivery lead or as an engagement manager delivering data-driven solutions across multiple businesses

- Proficient in writing and understanding complex SQL queries; experience working with large data sets and Hive database

- Programming background and expertise in building models using at least one of the following languages: Python, R

- Exposure to Big Data platforms like Hadoop and its eco-system (Hive, Pig)

- Strong multi-tasking & project management skills, Keen sense of prioritization.

- Ability to thrive and deliver in an ambiguous environment

- Self-motivated and driven to deliver agreed results on-time.

- Strong story-telling & articulation skills - ability to convert analytical output into clear, concise, and persuasive insights & recommendations for technical & non-technical audience

- Strong influence and relationship management skills; comfortable interacting across all levels of stakeholders

- Prior experience in providing strategic analysis and consulting

- Track record of delivering strong business results.

- Have led analytics/DS/DE team in high paced, fast growing tech startup, would be advantage and Have led/scaled teams in Analytics COE

(ref:hirist.com)
Posted
10/04/2021
Location
Hyderabad, TG, IN
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