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.

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.

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.

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.

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