Technical Advisor To Vp Of Engineering

Data is the most valuable asset at our company, and the Data & Analytics organization (DNA) is in the center for building an enriched and valuable ecosystem of data platform, data services & strategic technologies that drives innovation for our partners and clients, serving as integral platforms for generating revenue and competitive advantages, within out national and globally.

We are a team dedicated to developing sophisticated technology, systems & services to make data secure, high quality, rich, fast, and easy to use, enabling us the ability to use its data assets to build competitive differentiators and increase business value!!

Location:

Remote but candidate has to work on PST time zone.

This position is not eligible to be performed in Alaska, Colorado, Mississippi, North Dakota, or the Virgin Islands

What you'll get to do...

You will join the team at its inflection point and thus will have the chance to create a disproportionate impact on the business’s bottom line and help craft it for years to come.

Our goal is to build a world class team, with a growth mindset that produces innovative products. We have adopted a 3P (People, Process & Product) strategy to achieve this goal. This position will work closely with the VP of Engineering and his Senior leadership team. You will either set or be deeply involved in execution of strategy around People (hiring, growth, career development, organization health), Process (engineering excellence, execution rhythm, quality, developer productivity) and Product related initiatives.

Your experience should include...

• Ability to think strategically, see patterns and relationships in information and events, anticipate trends and possibilities that may lead to new business opportunities and effectively respond with bias for action will be a success factor.
• 15+ years of deep technical experience that allows you to quickly spot improvements.
• 10+ years of hands-on full life cycle software engineering experience is required
• Solid understanding of Data Quality, Governance, Lineage, Metadata Management, semantic data store, Analytics, Data Ingestion/Acquisition/Prep technologies
• You are passionate for all three (People, Process & Product), have a can-do attitude, can roll up sleeves to get the job done and gravitate towards wearing multiple hats.
• Master’s degree in a STEM field or equivalent practical experience.
• High energy, strong sense of ownership and dealing with ambiguity. You are a champion of teamwork, trust & partnership.
• 5+ years of technical program or product management is a must
• Data Science and Machine Learning experience is a bonus.
• Excellent oral, written and presentation skills. A demonstrated ability to effectively communicate technical and business issues to multiple organizational levels.
• Experience with data at scale, platforms, AWS ecosystem will be preferred
• Personal characteristics include a natural intellectual curiosity. You thrive in fast-paced environments, accompanied by agile engineering practices. Delivering business value without compromising quality is in your DNA.

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