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Delivery Manager

2 meses atrás

São Paulo, São Paulo, Brasil Data Meaning Tempo inteiro
Job Summary

Data Meaning is a leading Business Intelligence and Data Analytics consulting firm, renowned for our high-quality consulting services throughout the US and LATAM. Our expertise lies in delivering tailored solutions in Business Intelligence, Data Warehousing, and Project Management. We are dedicated to bringing premier services to our diverse clientele. We have a global team of 95+ consultants, all working remotely, embodying a collaborative, inclusive, and innovation-driven work culture.

Job Overview

We are proactively building a pipeline of experienced Delivery Managers who are passionate about data analytics and business intelligence. In this role, you will have the opportunity to work on exciting projects, leveraging your expertise to drive data-driven decision-making across the organization.

Key Responsibilities:
  1. Program Development: Translate and assist with the development of product roadmaps and feature requests into models, workflow diagrams, acceptance criteria, SDLC Documentation, and other program artifacts.
  2. Documentation and Artifacts: Create, update, and maintain responsibility for program documentation and artifacts including technical and functional procedures, technical documentation, architectural diagrams, DR plans, and requirements traceability matrices.
  3. Contractual Deliverables: Maintain responsibility for contractual deliverables.
  4. Collaboration and Communication: Collaborate with technical SMEs, architects, developers, and other leads to drive requirements.
  5. Risk Management: Identify, analyze, and track risks; communicate statuses, and escalate concerns when needed.
  6. Dependency Management: Identify and coordinate cross-team dependencies.
  7. Progress Monitoring: Work with project management, development teams, and other departments to actively remove obstacles blocking progress and ensure program is within schedule.
  8. Backlog Management: Prioritize and groom the team(s) backlog.
  9. Team Leadership: Lead daily stand-ups, grooming, demos, and other team and client meetings.
  10. Progress Tracking: Create work estimates, tracking progress, and reporting status in the form of burn up/down charts.
  11. Platform Expertise: Understand the design, business logic, and technical architecture of the platform components and how those components interact with the rest of the platform.
  12. Customer Support: Serve as the primary expert (functional, not technical) for the components for which you are responsible.
  13. Client Relationship: Be an active participant in the entire customer life cycle, working in tandem with sales to ensure the client and all projects receive the proper technical support.
Requirements:
  1. Data Analysis Experience: 5+ years of experience with data analysis, collection, management, and organization.
  2. Technical Program Management Experience: 5 years of experience in technical program management or delivery management of medium/large enterprise clients.
  3. Business Intelligence Expertise: Deep knowledge of business intelligence and data science best practices.
  4. Data Visualization: Recognize the importance of data visualization choices to convey insights.
  5. Financial Acumen: Comfortable working with sales, billing, and financial information.
  6. Problem-Solving Skills: Problem-solving, quantitative and analytical abilities.
  7. Organizational Skills: Highly organized - Ability to manage time and resources effectively in order to achieve goals.
  8. Attention to Detail: Impeccable attention to detail.
  9. Multitasking: Ability to multitask - make progress on multiple projects in parallel.
  10. Communication Skills: Great communication skills; proactive/action-oriented.
  11. Industry Tools: Experience working on projects with data industry tools like Tableau, Informatica, Power BI, Alteryx, JIRA, MS Project Plan, any additional project management tools.

At Data Meaning, we are committed to delivering exceptional services to our clients and fostering a collaborative work environment.