Chief Data Systems Architect
1 week ago
Company Overview
Tiger Analytics is a global analytics consulting firm. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team-first mindset. Working at Tiger, you'll be at the heart of this AI revolution. You'll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.We are headquartered in the Silicon Valley and have our delivery centres across the globe. As a Product Lead, you will be a key member of the teams working on end-to-end AI and analytics solutions being built as a product for our client. While your primary focus will be on the application/data engineering components of the overall solution, you will collaborate with internal data science teams for the ML aspects.
Key Responsibilities:
- • Define the product strategy and roadmap. • Prioritize product features and capabilities. Translate product strategy into detailed requirements and prototypes. Elicit requirements from Stakeholders/Markets using a combination of business acumen and technology understanding · Work with Product Development team to understand the feasibility of feature implementation and able to prioritize Product features and capabilities · Lead PI planning activities for a multi-disciplinary pod team under Scaled Agile Delivery framework · Translate requirements to technical stakeholders. Review solution design & estimation for conformity with requirements · Coordinate product delivery (communicating updates, bottlenecks, risks, delays etc) · Measure and articulate value of solutions developed to help drive solution adoption by business teams · Work with Stakeholders to define a roadmap for Product and adoption by markets
To succeed in this role, you will need: 8-10 years of relevant experience, some of which has been in hands-on development. A techno-functional background preferred (Engineering + MBA). Experience working on products with significant application engineering and development components/multi-disciplinary teams. 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. Team management and client stakeholder management. And an estimated salary range of $150,000 - $200,000 per year based on industry standards and location.
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