Manager, Technical Project Management- Buenos Aires

hace 5 días


Buenos Aires, Argentina Syneos - Clinical and Corporate - Prod A tiempo completo

**Description**

Manager, Technical Project Management
- Buenos Aires (Hybrid)

Syneos Health® is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success. We translate unique clinical, medical affairs and commercial insights into outcomes to address modern market realities.

Every day we perform better because of how we work together, as one team, each the best at what we do. We bring a wide range of talented experts together across a wide range of business-critical services that support our business. Every role within Corporate is vital to furthering our vision of Shortening the Distance from Lab to Life®.

Discover what our 29,000 employees, across 110 countries already know.

**WORK HERE MATTERS EVERYWHERE**

Why Syneos Health
- We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
- We are committed to our Total Self culture - where you can authentically be yourself. Our Total Self culture is what unites us globally, and we are dedicated to taking care of our people.
- We are continuously building the company we all want to work for and our customers want to work with. Why? Because when we bring together diversity of thoughts, backgrounds, cultures, and perspectives - we’re able to create a place where everyone feels like they belong.

**Responsibilities**:
The **Manager, Project Management** supports our business goals by overseeing the project management teams that partner within our business unit (engineers, data scientists and media experts) to deliver projects on time and within budget in support of our customers and their needs.

**Core Responsibilities**
- Manage teams of Project Managers. Responsibilities include line management, performance management, and professional development for those employees along with interviewing and onboarding new team members.
- The Manager, Project Management will oversee the team that will plan and manage delivery of the team’s line-up of data science products as well as cusom analytical projects for Life Sciences customers, ensuring that deadlines and requirements are met.
- Thoroughly understand clients’ business needs and translate them into technical and analytical requirements. Prioritize the requirements and clearly communicate them to team members.
- Lead the team that works with the data scientists and engineers to draft requirements, statements of work, budget estimates, scope definitions, timelines, risk mitigation plans and supplier line-ups.
- Develop and manage project reports, plans, milestones, risks, issues, dependencies, resourcing, communications, legal, and financial issues.
- Prioritize work for internal teams; provide direction for junior team members to achieve client goals.
- Perform and supervise routing and approval process for deliverables.
- Set up tools and processes to facilitate communication and collaboration between team members.
- Work with internal and external clients on identifying unresolved business needs to guide the team’s product strategy.
- Develop scalable, repeatable processes and suggest additional enhancements to drive efficiency for future customers and project teams.
- Build relationships with internal and external partners and contribute to future success with client satisfaction.
- Mentor and coach junior team members across the business.

**Qualifications**
- Degree (BS/BA) in any related field.
- Three to five (3-5) years of experience and zero to one (0-1) years of management experience.
- Project management experience delivering data science or analytics products to paying clients on time and on budget.
- Experience leading a high performing team and working across multiple stakeholders to deliver results while educating and growing team members.
- Expert knowledge of project management tools and best practices. PMP certification is a plus.
- Understanding of how data science models are developed.
- Clear, precise communication of complex concepts to lay audiences.
- Strong motivation for self-guided learning with strong attention to detail.

**Disclaimer**

Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities.

Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legisl



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