Program Lead
2 days ago
About Us
">Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale.
">Our Mission
">We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.
">Job Overview
">This role involves driving problem discovery, scoping, program management, delivery etc. You will collaborate with internal data science teams for the ML aspects while your primary focus will be on the data engineering and application engineering components of the overall solution.
">Key Responsibilities:
">- ">
- Drive problem discovery, scoping, program management, delivery etc.">
- Lead requirements elicitation using a combination of business acumen and technology understanding.">
- Translate solutions requirements to technical architects. Review solution design & estimation for conformity with client requirements.">
- Coordinate program delivery (communicating updates, bottlenecks, risks, delays etc)">
- Measure and articulate value of solutions developed to help drive solution adoption by business teams.">
Requirements
">This role requires:
">Program delivery experience in multiple data systems (cloud / on-premise, classical RDBMS / big-data / NoSQL).
">Proven experience in the delivery of Azure cloud programs such as Azure Data & Analytics platforms – Azure Synapse Analytics, Azure Data Factory, Azure Databricks, Python/pySpark, ADLS, Azure Event Hub, Azure Streaming Analytics, Azure Purview and Azure Power BI.
">Project planning and tracking in agile and waterfall paradigms.
">Experience with different source systems (flat-files to ERP systems to real-time sources) and their impact on design, functioning, and maintenance of data systems.
">Experience working on programs with significant application engineering and development components.
">(Preferable) exposure to MLOps/DevOps in the context of cloud based predictive analytics solution deployment.
">Team management and client stakeholder management.
">A minimum of 10-15 years of relevant experience, some of which has been in hands-on development.
">Techono-functional background preferred (Engineering + MBA).
">Perks
">You will get to work on the most advanced technologies like machine learning and artificial intelligence.
">Global Exposure: We work for leading global brands. You will get exposure to global markets while working with international clients.
">Learning & Development: We partner with a host of the biggest learning platforms. You will be encouraged to learn and grow.
">Growth Mindset: We encourage a growth mindset and believe that learning never stops.
">The estimated salary for this role is around $120,000 per year, commensurate with expertise and experience.
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