Technical Program Manager
GroqSalary not specified
Full Time
Senior (5 to 8 years), Expert & Leadership (9+ years)
Not SpecifiedCompensation
Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Technology, Data Infrastructure, AI, AutomationIndustries
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related field
- 2 to 5 years of experience in technical product management or technical product ownership roles
- Proven track record of delivering complex, cross-platform, or enterprise-level initiatives end-to-end
- Deep understanding of cloud computing platforms, system integration, middleware architecture, and API/data translation patterns
- Hands-on experience with Agile methodologies, DevOps practices, and CI/CD pipelines
- Excellent communication and stakeholder management skills, including executive reporting
- Strong analytical thinking, structured problem-solving, and effective decision-making abilities
Responsibilities
- Own and drive the end-to-end lifecycle of key technical initiatives across multiple projects
- Define technical requirements, product roadmaps, and detailed solution specifications
- Collaborate closely with cross-functional engineering, product, and design teams to translate business goals into scalable technical outcomes
- Act as a bridge between teams to ensure seamless data translation, system interoperability, and technical alignment
- Leverage cloud computing expertise to guide platform selection, architecture decisions, and integration strategies
- Identify, monitor, and manage project risks, interdependencies, and delivery timelines
- Oversee quality assurance, testing, and validation processes to maintain high technical and performance standards
- Track and report progress to stakeholders and executive leadership with clarity and transparency
- Foster a culture of accountability, continuous improvement, and engineering excellence across teams
Skills
Technical Product Management
Product Roadmaps
Cloud Computing
System Architecture
Integration Strategies
Quality Assurance
Project Management
Cross-functional Collaboration
Technical Requirements
Risk Management
ShyftLabs
Data-driven decision-making solutions for organizations
About ShyftLabs
ShyftLabs helps organizations adopt a data-first approach to their decision-making processes. Their services focus on establishing systems that enable companies to make quicker and more informed decisions based on data analysis. This approach allows businesses to gain insights that can keep them ahead of their competitors. Unlike other companies that may offer generic consulting services, ShyftLabs emphasizes the importance of data in driving decisions, ensuring that organizations can leverage their data effectively to enhance their strategic planning and operational efficiency.
None, CanadaHeadquarters
2018Year Founded
VENTURE_UNKNOWNCompany Stage
Data & Analytics, ConsultingIndustries
11-50Employees
Benefits
Health Insurance
Hybrid Work Options
Professional Development Budget
Risks
Increased competition from startups offering innovative, cost-effective solutions.
Growing demand for in-house analytics teams reducing reliance on consultants.
Rapid AI advancements may outpace ShyftLabs' current technology offerings.
Differentiation
ShyftLabs specializes in data governance, warehousing, and predictive analysis services.
The firm empowers organizations with a data-first approach for decision-making.
ShyftLabs establishes processes for faster, insightful decisions to outpace competition.
Upsides
Increased demand for data governance due to stricter privacy regulations.
Growing interest in predictive analytics in retail for inventory optimization.
Rising adoption of cloud-based BI tools among SMEs for cost-effectiveness.
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