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You will be updated with latest job alerts via emailJob Summary:
We are looking for a Technical Project Manager to oversee and drive the successful of Data projects. In this role you will work closely with crossfunctional teams including data scientists engineers and business stakeholders to manage project timelines budgets and deliverables. You will ensure the smooth of complex data initiatives from inception to completion while aligning with business goals and technical requirements.
As the bridge between business needs and technical teams your role will be crucial in ensuring that Data and AI projects are delivered on time within scope and with the highest quality.
Key Responsibilities:
Project Planning and :
Define project scope objectives and deliverables in collaboration with business stakeholders and technical teams.
Develop detailed project plans including timelines milestones resource allocation and risk management strategies.
Lead and manage the full project lifecycle of Data and AI initiatives ensuring adherence to timelines budgets and quality standards.
Team Coordination and Communication:
Act as the main point of contact between business stakeholders and technical teams (data scientists AI engineers and data engineers).
Facilitate communication and collaboration among crossfunctional teams ensuring alignment on goals priorities and timelines.
Conduct regular project meetings providing clear updates on progress risks and roadblocks.
Risk Management and Problem Solving:
Proactively identify and manage project risks dependencies and issues that may affect project delivery.
Develop contingency plans and take corrective action as needed to keep projects on track.
Resolve conflicts and negotiate solutions with both technical and nontechnical stakeholders.
Technical Understanding and Oversight:
Maintain a strong understanding of data pipelines data architecture and cloud technologies (e.g. AWS Azure GCP).
Work with the technical teams to ensure technical solutions align with business requirements and industry best practices.
Provide technical guidance and support to ensure smooth project .
Agile Project Management:
Lead projects using agile methodologies (Scrum/Kanban) ensuring iterative development and continuous feedback.
Facilitate sprint planning daily standups retrospectives and backlog grooming sessions.
Ensure that the agile process is followed and teams are continually improving through retrospectives.
Budget and Resource Management:
Manage project budgets including tracking expenses and ensuring efficient use of resources.
Forecast resource needs and work with department heads to ensure the appropriate technical resources are allocated to projects.
Required Skills and Qualifications:
Education: Bachelors degree in computer science Engineering or a related field. Masters degree or PMP certification is a plus.
Experience: Overall 12 years of experience with 5 years of experience in technical project management with a focus on Data AI or machine learning projects.
Technical Expertise:
Strong understanding of data management analytics and cloud technologies (e.g. AWS Azure Google Cloud).
Experience working with data scientists data engineers and software development teams to deliver technical solutions.
Familiarity with datarelated tools (e.g. SQL Python Spark) frameworks.
Project Management Skills:
Proven ability to manage largescale technical projects including complex data and AI initiatives from inception to completion.
Expertise in agile project management (Scrum Kanban) and proficiency with project management tools like Jira.
Leadership and Communication:
Excellent leadership skills with the ability to motivate and guide crossfunctional teams.
Strong written and verbal communication skills with the ability to present technical information to nontechnical stakeholders.
Ability to collaborate effectively with both technical teams and business stakeholders.
Required Experience:
IC
Full-Time