At a Glance
- Tasks: Lead and manage data migration and analytics projects across cloud platforms.
- Company: Lemongrass is a global leader in SAP consulting, driving digital transformation for businesses.
- Benefits: Enjoy competitive salary, remote work options, and professional development opportunities.
- Other info: PMP certification preferred; background check required.
- Why this job: Join a culture of innovation and collaboration with top industry talent.
- Qualifications: Bachelor's degree in IT or related field; 5 years in technical project management required.
The predicted salary is between 36000 - 60000 € per year.
About Lemongrass: Lemongrass (lemongrasscloud.com) is a global leader in SAP consulting, focused on helping organizations transform their business processes through innovative solutions and technologies. With a strong commitment to customer success, Lemongrass partners with companies to drive their digital transformation journeys, enabling them to unlock the full potential of their SAP investments.
We do this with our continuous innovation, automation, migration and operation, delivered on the world's most comprehensive cloud platforms – AWS, Azure and GCP and SAP Cloud ERP. We have been working with AWS and SAP since 2010 and we are a Premier Amazon Partner Network (APN) Consulting Partner. We are also a Microsoft Gold Partner, a Google Cloud Partner and an SAP Certified Silver Partner.
Our team is what makes Lemongrass exceptional and why we have the excellent reputation in the market that we enjoy today. At Lemongrass, you will work with the smartest and most motivated people in the business. We take pride in our culture of innovation and collaboration that drives us to deliver exceptional benefits to our clients every day.
We are seeking an experienced and dynamic Technical Project Manager for Data Analytics Services to join our team. The ideal candidate will have a strong background in managing technical projects related to legacy data platform migration, data lake build, and data analytics across multiple cloud platforms. This role requires a blend of project management expertise and technical acumen to ensure successful delivery of complex data projects on time and within budget.
Key Responsibilities:- Project Management: Lead and manage legacy data platform migration (Teradata, Hadoop), data lake build, and data analytics projects from initiation to completion. Develop comprehensive project plans, including scope, timelines, resource allocation, and budgets. Monitor project progress, identify risks, and implement mitigation strategies to ensure successful project delivery. Coordinate with cross-functional teams, including data engineers, data scientists, and IT professionals, to ensure seamless execution of projects.
- Technical Leadership: Provide technical guidance and expertise on data migration strategies, data lake architectures, and data analytics solutions. Ensure best practices in data management, data integration, and data security are adhered to throughout the project lifecycle. Collaborate with AWS, Azure, GCP, Databricks, and Snowflake experts to leverage cloud capabilities and ensure optimal performance of data solutions.
- Stakeholder Management: Act as the primary point of contact for clients, providing regular project updates and addressing any concerns or requirements. Facilitate communication between technical teams and non-technical stakeholders to ensure alignment on project goals and deliverables. Manage stakeholder expectations and ensure high levels of customer satisfaction.
- Continuous Improvement: Identify opportunities for process improvements and implement best practices in project management and technical delivery. Stay up-to-date with the latest trends and technologies in data services, data migration, and cloud computing.
- Bachelor’s degree in Computer Science, Information Technology, or a related field. Master’s degree preferred.
- Minimum of 5 years of experience in technical project management or technical delivery, specifically in data analytics services, legacy data platform migrations, or data lake projects.
- Strong understanding of data architectures, data integration, and data analytics.
- Experience with cloud platforms including AWS, Azure, and Google Cloud Platform (GCP).
- Experience migrating On-prem data platforms to Databricks and Snowflake for data engineering and analytics.
- Experience with SAP systems and SAP HANA is a plus.
- Excellent project management skills, with proficiency in project management tools (e.g., MS Project, Jira).
- Strong leadership, communication, and interpersonal skills.
- PMP, PRINCE2, or similar project management certification is preferred.
- Competitive salary and benefits package.
- Opportunity to work with cutting-edge technologies and leading cloud platforms.
- A collaborative and innovative work environment.
- Professional development opportunities and career growth.
Selected applicant will be subject to a background investigation, which will be conducted and the results of which will be used in compliance with applicable law. Lemongrass Consulting is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, religion, color, national origin, religious creed, gender, sexual orientation, gender identity, gender expression, age, genetic information, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
StudySmarter Expert Advice🤫
We think this is how you could land Data Project Manager
✨Tip Number 1
Familiarise yourself with the specific cloud platforms mentioned in the job description, such as AWS, Azure, and GCP. Having hands-on experience or certifications in these areas can significantly boost your chances of standing out.
✨Tip Number 2
Network with professionals in the data analytics and project management fields. Attend industry events or join online forums to connect with current employees at Lemongrass or similar companies, which can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your previous project management experiences in detail, especially those related to data migration and analytics. Be ready to share specific examples of how you managed risks and ensured successful project delivery.
✨Tip Number 4
Stay updated on the latest trends in data services and cloud computing. Being knowledgeable about recent advancements can help you engage in meaningful conversations during interviews and demonstrate your commitment to continuous improvement.
We think you need these skills to ace Data Project Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in technical project management, particularly in data analytics services and cloud platforms like AWS, Azure, and GCP. Use specific examples to demonstrate your expertise in managing data migration projects.
Craft a Compelling Cover Letter:In your cover letter, express your passion for data analytics and project management. Mention how your skills align with Lemongrass's mission of driving digital transformation and provide examples of successful projects you've led.
Highlight Technical Skills:Clearly outline your technical skills related to data architectures, data integration, and analytics solutions. Mention any experience with tools like Databricks and Snowflake, as well as your familiarity with SAP systems if applicable.
Showcase Leadership Experience:Emphasise your leadership and communication skills in your application. Provide examples of how you've managed cross-functional teams and communicated effectively with both technical and non-technical stakeholders to ensure project success.
How to prepare for a job interview at LinkedIn
✨Understand the Company and Its Culture
Before your interview, take some time to research Lemongrass and its commitment to innovation and collaboration. Familiarise yourself with their projects and values, as this will help you align your answers with what they are looking for in a candidate.
✨Showcase Your Technical Expertise
As a Data Project Manager, you'll need to demonstrate your understanding of data architectures and cloud platforms like AWS, Azure, and GCP. Be prepared to discuss your previous experiences with data migration and analytics projects, highlighting specific challenges you faced and how you overcame them.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and project management abilities. Prepare examples from your past work where you successfully led a project, managed risks, or improved processes. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Emphasise Stakeholder Management Skills
Since the role involves acting as a primary point of contact for clients, be ready to discuss how you've effectively communicated with both technical and non-technical stakeholders in the past. Highlight your ability to manage expectations and ensure customer satisfaction throughout project lifecycles.
