Technical Program Manager
SiftSalary not specified
- Full Time
- Junior (1 to 2 years)
$90,000 – $120,000Compensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Sports Analytics, Data & Analytics, Software EngineeringIndustries
Requirements
Candidates should possess a Bachelor's degree in Computer Science, Management Information Systems, Information Technology, or a related field, and a minimum of 3 years of experience in project management, specifically focused on engineering projects. They must demonstrate a proven track record of successfully delivering complex projects on time and within budget, along with strong leadership and communication skills to effectively influence and motivate cross-functional teams. Proficiency in project management tools and methodologies, such as Asana or Jira, is required, as well as hands-on experience with data science tools and technologies including Python, SQL, and AWS.
Responsibilities
The Technical Project Manager will closely collaborate with cross-functional teams to define, prioritize, and execute engineering initiatives, setting strategic direction and ensuring alignment with business objectives, while driving continuous improvement. They will define and document project scope, goals, and deliverables in collaboration with senior management and stakeholders, devising and adapting strategies for achieving necessary goals, and communicating project status and milestones to stakeholders. Furthermore, the Project Manager will develop full-scale project plans and associated artifacts, manage the data science backlog, prioritizing it based on evolving requirements, plan and schedule project timelines and milestones utilizing appropriate tools, and assist in the staffing and assignment of resources based on project needs.
Skills
Project Management
Cross-functional Collaboration
Strategic Planning
Stakeholder Communication
Agile/Adaptive Strategies
Data Science Backlog Management
Swish Analytics
Sports analytics and optimization tools provider
About Swish Analytics
Swish Analytics specializes in sports analytics and optimization tools for daily fantasy sports and sports betting, focusing on major U.S. leagues like the NFL, MLB, NBA, and NHL. The company uses an advanced machine learning system to analyze large datasets, providing accurate sports predictions and optimized lineups. This helps users, including individual bettors and professional operators, make informed decisions about their bets and fantasy picks. Swish Analytics differentiates itself by being an Authorized MLB Data Distributor, establishing trust in the sports betting community. Operating on a subscription-based model, users can access various levels of tools and analytics, starting with a free trial. The goal of Swish Analytics is to maximize return on investment for clients by identifying the best bets and balancing risk and reward for long-term success.
Key Metrics
San Francisco, CaliforniaHeadquarters
2014Year Founded
$6.5MTotal Funding
EARLY_VCCompany Stage
Fintech, AI & Machine Learning, Financial ServicesIndustries
51-200Employees