Datasite is where deals are made. Driving transactions in 180 countries. Delivering at the highest level, across sell-side, buy-side, and beyond.
We provide a complete platform for M&A and other high-value transactions, including fundraising and restructuring. Projects become seamless in Datasite Cloud, built around the world’s most trusted data room. Our unique combination of technology and always-on assistance empowers investment banks, corporates, private equity, and law firms to shorten deal times and boost success rates.
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Facebook (@datasiteglobal)
YouTube (youtube.com/datasite)
Datasite is where deals are made. Driving transactions in 180 countries. Delivering at the highest level, across sell-side, buy-side, and beyond.
We provide a complete platform for M&A and other high-value transactions, including fundraising and restructuring. Projects become seamless in Datasite Cloud, built around the world’s most trusted data room. Our unique combination of technology and always-on assistance empowers investment banks, corporates, private equity, and law firms to shorten deal times and boost success rates.
X (@datasiteglobal)
Instagram (@datasiteglobal)
Facebook (@datasiteglobal)
YouTube (youtube.com/datasite)
Data and AnalyticsDeepTechInformation TechnologyMobile, Platforms, and AppsSoftware
$150M
Join the Team
Director of Data Operations & Engineering
On-SiteNew York, US
On-Site • New York, US
Who you are
Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.
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Power BI Expert: Deep mastery of DAX, Power BI Service architecture, and advanced visualization techniques
The Modern Stack: High proficiency in Snowflake and dbt. You know how to structure a data warehouse
SQL Power User: Ability to perform deep-dive investigations and complex data discovery
Business Acumen: Deep understanding of how business metrics (e.g., LTV, CAC, Margin) translate into data requirements
Communication: Ability to present technical roadmaps to the C-suite and simplify complex data concepts for stakeholders
Collaborative Spirit: A cross-functional partner who can lead through influence and build relationships across departments
10+ years of experience in Data/Analytics, with at least 3+ years in a senior leadership role
Proven experience launching internal data products or tools that achieved high user adoption
Expert knowledge of the Snowflake + dbt + Power BI ecosystem
Exceptional communication skills—ability to pitch a "data product" vision to the C-suite
Bachelor’s degree or equivalent in a quantitative discipline such as engineering, mathematics, statistics, business, economics, etc
MBA or Master’s in quantitative disciplines such as analytics, MIS, etc
What the job involves
As the Director of Data Operations & Engineering, you will lead the evolution of our financial data ecosystem
Beyond managing infrastructure, you will be the owner of our Data Assets
You will lead a multidisciplinary team of Engineers, Data Analyst and Power BI Experts to transform raw data into high-value Data Products—reusable, reliable, and interactive tools that drive business strategy
You will bridge the gap between back-end engineering (Snowflake/dbt) and front-end product delivery (Power BI), ensuring that our data is not just "available," but "actionable
Architectural Strategy: Lead the design of back-end data models and Snowflake schemas to support long-term scalability and high-concurrency usage
Robust ELT Pipelines & Data Quality: Oversee the development and maintenance of automated pipelines using dbt, ensuring strict version control, documentation, and data lineage. Implement testing and monitoring to guarantee the accuracy of upstream data
Data Product & UX Innovation: Shift from static reporting to Data Product development. Use Power BI to build interactive tools. Champion high standards for data visualization. Ensure all Power BI assets are intuitive, and follow a consistent design language
KPI Governance: Partner with cross-functional leaders to define and standardize core business metrics, ensuring consistency across every dashboard and tool
Self-Service Enablement: Empower non-technical stakeholders by building "Certified Semantic Models" that allow users to safely build their own reports
Team Mentorship: Lead and grow a team of Data Engineers, Architects, and BI Experts, providing hands-on technical guidance in SQL, dbt, and DAX
Strategic Liaison: Act as the primary "translator" between technical engineering constraints and business requirements from Finance, Ops, and Marketing
Analytical Mindset: Drive a culture of "Discovery" performing deep investigations into data anomalies to provide proactive business recommendations
Benefits
Culture and benefits built around work-life balance
Extensive resources to support physical and mental health
Employee assistance program
Generous retirement plans
Incentives for referring new colleagues
Learning, training and mentoring programs
Cross-functional projects
Stretch assignments to help you progress
Receive feedback and earn bonuses from peers & managers
