Technical Project Manager (Data Analytics & AI)

Straive is a global leader in enterprise-grade data analytics and AI solutions, committed to empowering businesses across various industries with cutting-edge technology and expert insights. Backed by EQT, a top private equity firm, we are uniquely positioned to drive innovation through significant investments and an entrepreneurial spirit. Our core focus is on delivering advanced Data Analytics & AI Solutions. By combining sophisticated technology with subject matter expertise, we deliver material impact on our clients' topline and streamline their operations. We specialize in providing tailored solutions across financial services, CPG, legal, pharma, life sciences, retail and logistics, helping them build robust data analytics and AI capabilities. With a client base spanning 30 countries, Straive's strategically located teams operate from eight countries and is headquartered in Singapore. This global presence enables us to offer localized expertise with a worldwide perspective. Join Straive to be part of a dynamic team at the forefront of data analytics and AI innovation. Here, you'll have the opportunity to contribute to transformative projects, supported by significant investments and an entrepreneurial drive fueled by our partnership with EQT. Job Title: Technical Project Manager (Data Analytics & AI) Type: FTE Location: Oklahoma City, OK (Remote) Job Summary: The Technical Project Manager will oversee the planning, execution, and delivery of technology projects. This role involves coordinating cross-functional teams, managing timelines, and ensuring projects meet business objectives and compliance standards. Key Responsibilities: Project Planning: Develop detailed project plans, timelines, and resource allocation. Execution & Monitoring: Lead project execution, monitor progress, and adjust plans as needed to meet deadlines and budgets. Stakeholder Communication: Maintain clear communication with stakeholders, providing regular updates on project status and addressing concerns. Risk Management: Identify potential risks and develop mitigation strategies. Team Coordination: Coordinate cross-functional teams, ensuring effective collaboration and task completion. Quality Assurance: Ensure project deliverables meet quality standards and business requirements. Documentation: Maintain comprehensive project documentation, including project plans, reports, and post-project evaluations. Qualifications: Education: Bachelor's degree in Information Technology, Computer Science, Engineering, or a related field. Experience: 5 years of project management experience, with a focus on technical projects. Technical Skills: Proficiency with project management tools (e.g., MS Project, JIRA, Trello) and methodologies (e.g., Agile, Scrum, Waterfall). Experience in working with lambda, APIs, rest APIs and ETL. Candidates must have experience with AI tech stacks, AI architecture understanding, Azure/AWS cloud experience. Certifications: PMP, or Agile certifications are preferred. Soft Skills: Strong leadership, communication, and organizational skills. Ability to manage multiple projects simultaneously and work under pressure. Key Competencies: Problem-solving and critical-thinking abilities. Strong attention to detail and accuracy. Ability to work both independently and as part of a team. Adaptability to changing project requirements and environments. Customer-focused with a commitment to delivering high-quality solutions. If you are a motivated professional with a passion for delivering impactful solutions, we'd love to hear from you. Apply today to be part of a dynamic and forward-thinking team at Straive. Straive is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination based on age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation. We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.