Data Delivery Manager is responsible for managing and overseeing the end-to-end delivery of data
solutions, from data architecture and ingestion to processing, analysis, and reporting. This role
ensures that data projects are completed on time, within scope, and aligned with business
objectives. The Data Delivery Manager works with cross-functional teams, including data
engineers, analysts, and other stakeholders, to deliver high-quality data solutions. Key
Responsibilities: Project and Program Management: o Lead and manage the delivery of data-
driven projects, ensuring they are completed on time and within budget. o Develop and maintain
project plans, timelines, and resource allocation. o Monitor project progress and proactively
identify risks, implementing solutions to ensure successful project completion. o Ensure alignment
between data initiatives and business goals, maintaining continuous communication with
stakeholders. Stakeholder Engagement: o Serve as the primary point of contact between business
stakeholders and the data team, translating business requirements into technical specifications. o
Collaborate with business leaders to understand data needs and develop solutions that meet
those needs. o Provide regular updates on project status, risks, and key deliverables to
stakeholders and leadership teams. o Facilitate meetings to gather requirements and
communicate project milestones. Data Strategy & Architecture: o Oversee the design and
implementation of data solutions that support business objectives. o Ensure adherence to data
governance and quality standards throughout the data pipeline lifecycle. o Collaborate with data
architects to define scalable, secure, and high-performance data architectures. o Support data
integration initiatives across different platforms, ensuring smooth and efficient data flow. Team
Leadership and Development: o Manage cross-functional teams of data engineers, analysts, and
other professionals to deliver projects effectively. o Provide leadership and mentoring to team
members, fostering a culture of collaboration, innovation, and continuous learning. o Set clear
expectations, performance goals, and career development opportunities for the team. o Address
and resolve any team challenges, ensuring high levels of productivity and motivation. Quality
Assurance: o Ensure the accuracy, reliability, and quality of data solutions by implementing robust
testing, validation, and review processes. o Develop and enforce data standards, best practices,
and methodologies to ensure consistent, high-quality deliverables. o Drive continuous
improvement initiatives, analyzing past projects and identifying areas for enhancement. Risk
Management and Troubleshooting: o Identify potential risks to project delivery, including data
pipeline issues, resource shortages, or technical blockers, and implement mitigation strategies. o
Troubleshoot and resolve data-related issues and challenges during the project lifecycle.
Reporting and Analytics: o Oversee the creation and maintenance of data dashboards, reports, and
performance metrics. o Ensure that data solutions provide actionable insights for the business,
driving informed decision-making. Experience: o 5+ years of experience in managing programs
related to data management, data engineering, or analytics. o Proven track record in managing
data projects and delivering data solutions in a timely manner. o Experience with data integration,
data warehousing, and data modeling. o Strong understanding of data pipeline management, ETL
processes, and data analytics. Skills: o In-depth knowledge of data management tools and
technologies (e.g., SQL, NoSQL, ETL tools, cloud platforms such as AWS, Google Cloud, or Azure).
o Proficient in project management methodologies (Agile, Scrum, Waterfall). o Strong leadership
and team management skills, with the ability to drive collaboration across different functions. o
Excellent communication skills with the ability to translate complex data-related concepts into
understandable terms for non-technical stakeholders. o Analytical mindset with strong problem-
solving abilities. o Knowledge of data visualization and reporting tools (e.g., Power BI, Tableau,
Looker) is a plus. Certifications: o Project Management Professional (PMP) or Scrum Master
certification (preferred). o Data-related certifications (e.g., AWS Certified Big Data, Google
Professional Data Engineer) are a plus. Preferred Skills: o Experience with big data technologies
(e.g., Hadoop, Spark, Kafka). o Familiarity with machine learning or AI applications related to data
solutions. o Experience with data governance and compliance (e.g., GDPR).
Shubham Vishwakarma
Full Stack Developer - Averlon
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AI/ML Engineer
Location: Bengaluru, India (Hybrid)
About Gemba Concepts
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modernize how they operate. We build production systems that sit close to the shop floor — warehouse management, manufacturing
traceability, and an applied AI/ML platform whose flagship use cases are visual quality inspection and predictive maintenance. We’re a
tight engineering team that ships real systems for demanding, often regulated, environments.
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problem with stakeholders, building and validating the model, and deploying it as a reliable service that holds up against real-world, messy
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Develop predictive maintenance models using sensor/time-series data — anomaly detection, remaining-useful-life estimation, failure
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Deploy and serve models in production on Azure (AKS), and keep them healthy — track drift, retraining triggers, and latency.
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Strong Python and the modern ML stack — PyTorch or TensorFlow, scikit-learn, NumPy/Pandas.
Solid grounding in at least one of: computer vision (CNNs, object detection/segmentation, image preprocessing) or time-series /
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Comfort working with imperfect, real-world data — labeling strategy, class imbalance, data drift, and validation that reflects production
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Good engineering hygiene (Git, testing, code review) and the ability to write code others can build on.
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A lean, senior-heavy team where you ship fast and learn across the stack.
- Direct exposure to applied AI in manufacturing — a domain where the work has tangible, physical impact
Job Title: SEO Specialist
Location: Ghitorni, New Delhi (Work From Office)
Experience: 2–5 Years
Industry: Travel / Online Travel Agency (OTA)
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- Experience working on large-scale websites or e-commerce/travel platforms
- Hands-on experience with tools like:
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- Google Search Console
- SEMrush / Ahrefs
- Screaming Frog
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● Involve in the end-to-end architecture design and implementation
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● Experience with RDBMS or NoSQL Database technologies like MySQL, MongoDB, PostgreSQL, ElasticSearch, and Redis
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Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon