What are the responsibilities and job description for the Technical Project Manager - FullTime Role position at Pozent Corporation?
Key Skills
Project & Delivery Management
- 12 years of IT experience with at least 6 years in technical project / program management delivering data and analytics solutions.
- Strong AI/ML background — understanding of ML lifecycle, Vertex AI / MLOps , and modern GenAI / LLM patterns (RAG, agentic workflows, evaluation).
- Demonstrated team leadership of 10 engineers across distributed onshore/offshore models.
- Hands-on experience with Agile/Scrum, JIRA/Confluence, and modern delivery tooling.
- Experience running production operations with formal SLAs, incident, problem, and change management.
- Excellent client-facing skills — executive communication, negotiation, and stakeholder influence.
- Bachelor's degree in Computer Science, Engineering, or related discipline.
Project & Delivery Management
- Own end-to-end delivery of GCP Data Lake and AI/ML programs across discovery, build, deployment, and stabilization phases.
- Define and maintain project plans, RAID logs, sprint cadences, release calendars, and milestone roadmaps.
- Drive delivery governance — status reporting, steering committees, executive readouts, and risk escalation.
- Manage scope, budget, and timelines through change control, vendor coordination, and SOW management.
- Apply Agile / Scrum / SAFe or hybrid methodologies appropriate to the engagement.
- Architect and oversee build-out of enterprise data lakes on GCP leveraging BigQuery, Cloud Storage, Dataproc, Dataflow, Pub/Sub, Composer, and Dataplex .
- Guide ingestion, transformation, and curation patterns (batch streaming) with strong data quality, lineage, and governance controls.
- Direct AI/ML solutioning — model selection, feature engineering, Vertex AI , MLOps , evaluation, and responsible-AI practices.
- Translate business problems into technical designs spanning data engineering, ML, and GenAI use cases.
- Champion security, compliance, and FinOps — IAM, VPC-SC, CMEK, cost optimization, and quota management.
- Lead cross-functional teams of data engineers, ML engineers, cloud architects, BI developers, and QA — typically 10-30 resources across onshore/offshore.
- Coach, mentor, and grow engineers and leads; conduct performance reviews, career planning, and capability building.
- Plan capacity, allocations, and skills mix against the delivery roadmap.
- Foster a culture of engineering excellence — code reviews, design reviews, retrospectives, knowledge sharing.
- Run production operations for data and AI platforms — SLAs/SLOs, incident management, on-call, and RCA / problem management .
- Establish observability — monitoring, alerting, cost dashboards, model drift, and data-quality SLAs.
- Own DevOps / DataOps / MLOps disciplines — CI/CD, infrastructure-as-code (Terraform), environment promotion, release management.
- Drive continuous improvement through KPIs, runbooks, automation, and operational maturity assessments.
- Serve as the primary client interface — build trusted relationships with business sponsors, IT leadership, and end-users .
- Lead consultative discovery — elicit requirements, shape solutions, and influence roadmaps.
- Manage commercials — SOWs, change orders, MSAs, T&M / fixed-bid models, and revenue forecasting.
- Identify and pursue account growth opportunities; partner with sales/pre-sales on proposals and estimates.
- Run executive cadences — QBRs, monthly reviews, and value-realization reporting.
- Bachelor's degree in Computer Science, IT, Engineering, or related discipline
- Opportunity to directly impact business growth by identifying and hiring the right IT talent for critical projects.
- Hands-on exposure to diverse technologies and stakeholders, strengthening recruitment and domain expertise.
- Pozent is a rapidly growing company focused on delivering next-generation digital, data, and AI-driven solutions to global clients and achieve measurable business outcomes.
- Our team is geared towards innovation and thrives where talent meets opportunity.
- We work on Generative AI, Cloud, Data Engineering, Automation, and Full-Stack Development, delivering impactful projects
- Exciting Global Projects and career growth: Work directly with top clients and cutting-edge technologies providing a rapid learning curve, skill development, and clear career progression.
- Innovation Culture and supportive environment: You are not just joining a company — you're becoming part of a dynamic innovation ecosystem that empowers you to learn, explore, create, grow and lead.