Big Data - Project Manager

Company:  Bluestone Software
Location: Stamford
Closing Date: 02/11/2024
Salary: £125 - £150 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

blueStone Recruiting is a national search firm with a focus of placing top Big Data talent from the Analyst level to Architects with prestigious organizations nationwide.

Job Description

Our client is a Pharmaceutical company and is seeking a subject matter Big Data Project Manager.

Qualifications

  1. Providing project management support to IT management for data foundation work stream.
  2. Managing and guiding a team to carry out detailed project management activities effectively on a day-to-day basis, effectively tracking tasks and reporting progress.
  3. Build and manage end-to-end project plans.
  4. Resource and budget management for IM work stream.
  5. Leading related calls and meetings to drive progression and problem resolution.
  6. Stakeholder/relationship management to ensure that messages/updates are timely, objective, factual, and consistent.
  7. Adherence to program governance at all times.
  8. Support technical resources and others in the delivery ‘circle’ as needed.

The major challenges of the role include:

  1. Delivery in line with expectation.
  2. Stakeholder/relationship management.
  3. Steady head in a fast-changing environment.
  4. Focus on the problem at hand and not allowing distractions.

Skill, Experience & General Information Required:

  1. Excellent written and spoken communication skills with experience of successfully influencing others, negotiating effectively, and winning over audiences with compelling and persuasive presentations.
  2. Proven experience and understanding of Big Data from a technical perspective.
  3. Experience of operating in similar-sized organizations.
  4. Good technical understanding of Big Data, majoring on data and information services.

Technical:

  1. Broad knowledge of Big Data tools and their capabilities.
  2. Good technical understanding of the following Big Data Technologies:
  3. Infrastructure, Data Quality and Governance.
  4. Data replication, streaming, and extraction.
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