Project Manager, Data Automation - job 1 of 2

As a Project Manager, Data Automation at Talent Worx, your responsibilities include interpreting project requirements, developing detailed project plans, and leading the entire execution process. You’ll engage with business leads, ensuring service quality and customer satisfaction, while acting as a liaison between Scrum teams and vendors for technical requirements. Your role involves actively evaluating machine learning solutions and leading proof of concepts, while also synthesizing strategic insights to present to senior stakeholders.

To qualify for the Project Manager, Data Automation role at Talent Worx, candidates should possess 6-10 years of project management experience, particularly in leading teams within complex global business structures. A solid technical background in data science, machine learning, and Gen AI/LLM projects is essential. Candidates who hold certifications like Project Management Professional or PRINCE2 are preferred, along with a degree in Computer Science, Engineering, or Data Science.

Talent Worx fosters a culture of continuous learning and growth. As a Project Manager, Data Automation, you’ll gain exposure to diverse challenges, working with senior leaders and cutting-edge technologies. The role offers ample opportunities to develop skills in project management and data automation while potentially progressing towards senior management positions, thus shaping your career trajectory within a rapidly evolving industry.

At Talent Worx, we understand the importance of work-life balance and offer a flexible work environment for our Project Manager, Data Automation. We encourage open communication about your needs while supporting you in managing your project commitments. Our team thrives on collaboration, which helps in ensuring that work commitments align with personal well-being.

In the capacity of Project Manager, Data Automation at Talent Worx, you will work on innovative projects centered around machine learning and data extraction solutions. These projects are designed to transform business operations within our client’s framework and will involve collaborating with various departments to drive digital transformation and enhance data analytics capabilities.

When discussing your experience with data automation projects, focus on specific examples where you led a team or collaborated closely with stakeholders. Explain the objectives, methodologies you employed, and how you addressed challenges that arose. Emphasize your role in driving project success and any measurable outcomes that resulted from your leadership.

Highlight your familiarity with machine learning by detailing specific technologies or frameworks you’ve worked with. Discuss how you have integrated these technologies into project plans, and showcase any successful implementations. It’s beneficial to share insights on how machine learning has transformed data processes in your previous projects.

Discuss your communication strategies that keep stakeholders informed and engaged throughout the project life cycle. Illustrate how you set realistic timelines and deliverables, actively listen to concerns, and negotiate effectively to keep projects aligned with expectations while maintaining transparency throughout.

Explain your prioritization methodology, which may include assessing project urgency, stakeholder needs, and resource availability. Discuss any tools or frameworks (like Agile methodologies) that you utilize to manage ongoing projects effectively while ensuring alignment with overall business objectives.

Reflect on specific challenges such as changing requirements, team dynamics, or technological constraints. Describe how you navigated these challenges, the solutions implemented, and what you learned from these experiences. Focus on your problem-solving skills and adaptability to change.

Provide an example where you successfully applied Agile methodologies. Explain the project's context, the teams you worked with, the planning process, and how Agile contributed to the project's success. Emphasize the benefits realized, such as improved flexibility and faster delivery timelines.

Mention the project management tools you are proficient in, such as Jira, Trello, or Microsoft Project, and explain their functionalities that have aided your project management tasks. Highlight how these tools helped enhance team collaboration, track progress, and facilitate communication among stakeholders.

Discuss your strategies for fostering team cohesion, such as promoting open dialogue, encouraging diversity of thought, and organizing team-building activities. Explain your approach to understanding and respecting different cultural backgrounds to create an inclusive workspace where everyone feels valued.

Share the metrics and KPIs you consider when evaluating project success, such as delivery time, budget adherence, stakeholder satisfaction, and project impact on business objectives. Discuss how you track performance post-implementation and apply learnings to future projects.

Articulate your interest by aligning your career aspirations with Talent Worx’s mission. Mention the role’s emphasis on innovation and digital transformation, and emphasize how your background and passion for technology align with the company's values, making you excited about contributing to their success.