This role involves collaborating with diverse teams to integrate data strategies, ensuring compliance with relevant regulations and policies, and staying informed of industry advancements to recommend best practices. The specialist is expected to have extensive experience in data governance, strong analytical and communication skills, and proficiency in technical skills like SQL and Python.
Senior Manager (Data Science) Read More »
We are looking for a highly skilled and motivated Senior Director, Delivery to join our team and lead our
efforts in delivering exceptional data analytics solutions. The ideal candidate will have extensive
experience in data engineering, data science, or strategic business analytics, along with a proven track
record in consulting and delivery management. As a Senior Director, Delivery, you will be responsible
for overseeing the end-to-end delivery of multiple medium-scale and complex projects, managing
high-performing teams, and ensuring exceptional client satisfaction through high-quality deliverables
Senior Director/ Director -Delivery Read More »
Role Overview
We are looking for an experienced Site Reliability Engineering (SRE) Manager to lead a team of highly skilled SREs in managing, automating, and optimizing our cloud infrastructure on Google Cloud Platform (GCP). The SRE Manager will be responsible for ensuring the reliability, availability, and performance of critical services while driving automation and operational excellence having 8+ years of experience.
As an SRE Manager, you will work closely with development, infrastructure, and security teams to implement scalable, resilient, and high-performance solutions. This role is ideal for someone passionate about reliability engineering, cloud automation, and observability.
Key Responsibilities:
Leadership & Team Management
• Lead, mentor, and grow a team of Site Reliability Engineers, fostering a culture of innovation, collaboration, and continuous learning.
• Define and drive SRE best practices, focusing on reliability, automation, monitoring, and incident response. • Collaborate with development, DevOps, and security teams to align infrastructure and application reliability with business objectives.
• Own SRE roadmap and strategy, ensuring alignment with organizational goals and industry best practices.
Reliability & Performance
• Ensure the uptime, availability, and performance of critical applications hosted on GCP.
• Implement SLOs (Service Level Objectives), SLIs (Service Level Indicators), and SLAs (Service Level Agreements) to measure system reliability.
• Conduct root cause analysis (RCA) for production incidents and drive post-mortems to improve system resilience.
Automation & CI/CD
• Automate infrastructure management using Infrastructure-as-Code (IaC) tools such as Terraform or Pulumi. • Improve CI/CD pipelines using GitOps methodologies to enable faster and reliable deployments. • Champion self-healing architectures to minimize manual intervention.
Observability & Incident Management
• Implement and enhance monitoring, logging, and alerting using tools like Prometheus, Grafana, Stackdriver (Cloud Monitoring), and Open Telemetry.
• Develop on-call rotations, runbooks, and incident management processes to minimize downtime and improve MTTR (Mean Time to Resolution).
• Use AI/ML-based anomaly detection for proactive monitoring.
Security & Compliance
• Ensure security best practices for IAM, networking, and data encryption within GCP.
• Conduct security audits and work with compliance teams to ensure adherence to SOC2, ISO 27001, HIPAA, or other
regulatory frameworks.
• Implement zero-trust security models and automated compliance policies.
Cost Optimization & Capacity Planning
• Optimize cloud costs using GCP cost management tools, rightsizing, and auto-scaling.
• Implement capacity planning strategies to balance cost and performance.
• Work with finance teams to forecast infrastructure costs and optimize spend.
Required Skills & Qualifications:
Technical Skills
• Strong expertise in Google Cloud Platform (GCP) services such as GKE, Cloud Run, Cloud Functions, Cloud SQL • BigQuery, and Cloud Spanner.
• Hands-on experience with Terraform, Pulumi, or Cloud Deployment Manager for Infrastructure-as-Code (IaC). • Experience with CI/CD tools like GitHub Actions, ArgoCD, Spinnaker, or Jenkins.
• Strong knowledge of Kubernetes (GKE) and container orchestration.
• Experience with SRE principles such as error budgets, chaos engineering, and observability. • Strong scripting and automation skills in Python
• Experience with monitoring and observability tools (Stackdriver, Datadog, Prometheus, Grafana, New Relic).
Leadership & Soft Skills
• Proven experience managing and mentoring SRE teams.
• Strong problem-solving skills with the ability to troubleshoot complex production issues. • Ability to work in a fast-paced, DevOps-oriented environment.
• Strong communication and stakeholder management skills.
• Experience collaborating with cross-functional teams, including engineering, security, and product teams.
Preferred Qualifications
• GCP Professional Cloud Architect or GCP Professional DevOps Engineer certification.
• Experience with multi-cloud or hybrid cloud environments.
• Hands-on experience with serverless computing and event-driven architectures.
• Prior experience in high-traffic, distributed systems.
Solution Architect Director (Data Science & AI/ML) Read More »
Key Responsibilities:
• Apply software and AI engineering patterns and principles to design, develop, test, integrate, maintain and
troubleshoot complex and varied Generative AI software solutions and incorporate security practices in newly
developed and maintained applications.
• Collaborate with cross-functional teams to define AI project requirements and objectives, ensuring alignment
with overall business goals.
• Conduct research to stay up to date with the latest advancements in generative AI, machine learning, and deep
learning techniques and identify opportunities to integrate them into our products and services, optimizing
existing generative AI models and RAG for improved performance, scalability, and efficiency, developing and
maintaining pipelines and RAG solutions including data preprocessing, prompt engineering, benchmarking and
fine-tuning.
• Develop clear and concise documentation, including technical specifications, user guides and presentations, to
communicate complex AI concepts to both technical and non-technical stakeholders.
• Independently handle complex issues with minimal supervision, while escalating only the most complex issues
to appropriate staff
Qualifications:
• Bachelor’s degree (B. Tech/B.E.) or master’s degree (M. Tech/M.E.) in Computer Science, Information
Technology, or a related field.
• Minimum of 8 years of related AI/ML work experience
• You are proficient in Python and have experience with machine learning libraries and frameworks. Proficient in
Python, TensorFlow, PyTorch, and other relevant AI/ML libraries and frameworks.
• NLP & LLM Expertise: Strong experience (4+) specifically with NLP applications and LLMs (such as GPT, BERT,
etc.), including model training, fine-tuning, and deploying at scale.
• Cloud: Hands-on experience with cloud services (AWS, GCP, or Azure) for AI/ML deployment.
• Have a deep understanding of industry leading Foundation Model capabilities and its application.
• 2+ years of experience with implementing information search and retrieval at scale (RAG applications),
using a range of solutions ranging from keyword search to semantic search using embeddings.
• You are familiar with cloud-based Generative AI platforms and services
• Full stack software engineering experience to build products using Foundation Models
• Confirmed experience architecting applications, databases, services or integrations
Senior Principal Analyst – Data Science (Gen AI) Read More »
Responsibilities
We are seeking a highly skilled and motivated Senior Principal Analyst to join our team. The ideal candidate will
possess a strong technical background with expertise in various programming languages and data technologies,
Data Science and Artificial Intelligence coupled with exceptional business acumen and communication skills. As a
Senior Principal Analyst, you will be responsible for leadingtechnical initiatives, designing innovative solutions, and
providing expert consultation to our clients.
Key Responsibilities:
• Develop and implement machine learning models (classification, regression) using advanced techniques.
• Select features, build, and optimize classifiers and regressors using traditional ML methods such as decision
trees, random forests, and gradient boosting.
• Perform data pre-processing, including data cleaning and transformation for analysis.
• Leverage statistical methods to analyze datasets, perform hypothesis testing, and implement predictive models.
• Lead end-to-end model development lifecycle: from data wrangling to deployment.
• Mentor junior data scientists and guide them in the application of machine learning algorithms.
• Collaborate with business stakeholders to translate their needs into actionable data-driven solutions.
Technical Skills:
• Advanced proficiency in Python and libraries such as scikit-learn and XGBoost.
• Strong understanding of ML algorithms (SVM, KNN, Naive Bayes) and statistical techniques (regression,
clustering, time-series analysis).
• Expertise in model validation and evaluation techniques (cross-validation, confusion matrix, AUC-ROC).
• Experience with data visualization tools (Tableau, Power BI) and SQL for data extraction.
• Familiarity with cloud environments (AWS, GCP).
Qualifications:
• Bachelor’s or master’s degree in computer science, statistics, or related fields.
• 8+ years of experience in building and deploying traditional machine learning models.
Senior Principal Analyst-AI Engineering Read More »
Factspan Overview:
Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new pro-cesses that help them succeed. With offices in Seattle, Washington and Bangalore, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors.
Job Description:
We are looking for a highly skilled and motivated Senior Director, Delivery to join our team and lead our efforts in delivering exceptional data analytics solutions. The ideal candidate will have extensive experience in data engineering, data science, or strategic business analytics, along with a proven track record in consulting and delivery management. As a Senior Director, Delivery, you will be responsible for overseeing the end-to-end delivery of multiple medium-scale and complex projects, managing high-performing teams, and ensuring exceptional client satisfaction through high-quality deliverables.
Key Responsibilities.
Functional Skills: ● Solve specific problems end-to-end, ensuring comprehensive and effective solutions.
● Create and present strategic solutions to clients, addressing their unique business needs.
● Successfully manage and deliver multiple medium-scale and complex projects.
● Demonstrate exceptional delivery and team management skills, ensuring high performance and efficiency.
Technical Skills :
● Hands-on experience in the Data Analytics field, preferably in Data Engineering, Data Science, or strategic business analytics.
● Preferred certifications in Data Analytics to showcase expertise and commitment to the field.
● Overall 12-15 years of experience, with a progression from technical roles to consulting and delivery management positions.
● Lead business and technical client presentations with support from Subject Matter Experts (SMEs) and Centers of Excellence (CoEs).
● Build and maintain strong relationships with senior stakeholders (Director/VP level) from the client side.
● Maintain a razor-sharp focus on customer Net Promoter Score (NPS) through four pillars: Quality of Deliverables, Timeliness, Technical Rigor, and Business Grasp.
Behavioral Skills:
● Take ownership and accountability of outcomes, ensuring successful project delivery and client satisfaction.
● Exhibit excellent written and verbal communication skills, effectively conveying complex information.
● Demonstrate strong problem-solving abilities, addressing challenges with innovative solutions.
● Foster a collaborative team environment and show self-driven initiative to achieve goals.
Qualifications:
● Minimum 4 years Bachelor’s degree.
● Proven track record of successfully delivering multiple medium-scale and complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains.
● Experience in consulting and delivery management, with the ability to lead and inspire high-performing teams.
● Exceptional leadership and stakeholder management skills, with the ability to build relationships with senior stakeholders. If you are passionate about leading teams to deliver impactful data analytics solutions, possess strong technical and consulting expertise, and are committed to achieving exceptional client satisfaction, we encourage you to apply for this exciting opportunity. Join us in driving innovation and delivering value to our clients through data-driven insights and solutions.
Director / Sr. Director – Delivery Read More »
Factspan Overview: Factspan is a pure play data and analytics services organization. We partner with fortune 500 enterprises to build an analytics center of excellence, generating insights and solutions from raw data to solve business challenges, make strategic recommendations and implement new processes that help them succeed. With offices in Seattle, Washington and Bengaluru, India; we use a global delivery model to service our customers. Our customers include industry leaders from Retail, Financial Services, Hospitality, and technology sectors. Responsibilities We are seeking an experienced and dynamic Senior Manager, Delivery to lead our team in delivering innovative data analytics solutions to our clients. The ideal candidate will possess a technical background in data engineering, data science, or strategic business analytics, coupled with exceptional leadership and project management skills.
As a Senior Manager, Delivery, you will be responsible for overseeing the end-to-end delivery of medium to complex projects, managing geographically distributed teams, and engaging with senior client stakeholders to ensure successful project outcomes.
Key Responsibilities:
Technical:
● Previous hands-on experience in the Data Analytics field, preferably in Data Engineering, Data Science, or strategic business analytics.
● Demonstrated ability to convert business problems into technical solutions and technical delivery roadmaps.
● Overall 9+ years of experience, progressively moving from technical roles to delivery management positions.
Business:
● Lead the end-to-end delivery of medium to complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains.
● Manage geographically distributed teams of 15-20 people, preferably in an agile delivery model.
● Conduct technical client presentations with support from Subject Matter Experts (SMEs) and Centers of Excellence (CoEs).
● Engage with senior stakeholders (Director level and above) from the client side to understand requirements and ensure alignment with project objectives.
● Ability to drive team to maintain high customer NPS on all parameters of- Quality of Deliverables,Timeliness,Technical Rigor, Business Grasp Behavioural:
● Demonstrate passion for the role and commitment to the company’s objectives.
● Stay updated with the latest technological trends and demonstrate strong technical acumen. ● Possess excellent written and verbal communication skills.
● Utilize analytical and creative thinking skills to solve complex problems.
● Foster a collaborative team environment and exhibit self-driven initiative.
● Demonstrate strong problem-solving abilities and ability to navigate challenges effectively.
Qualifications:
● Minimum 4 years Bachelor’s degree
● Proven track record of successfully delivering medium to complex projects in Data Engineering, Data Science, or Strategic Business Analysis domains.
● Experience managing geographically distributed teams in an agile delivery model.
● Excellent leadership and stakeholder management skills, with the ability to engage with senior stakeholders effectively
Senior Manager (Data Science) Read More »