
The World's Identity Company.
Senior Director, Data Platform and Engineering
Secure Every Identity, from AI to Human
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.
This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.
The Technology, Data, and Intelligence Team
Okta is the leading independent identity provider. The Technology, Data, and Intelligence (TDI) organization is the engine that powers Okta's global workforce, providing the technology and systems that enable our employees to do their best work.
The Opportunity
Okta is seeking a visionary and results-driven Senior Director, Data Platform and Engineering to lead a global data and analytic engineering team ensuring our data assets are leveraged to their full potential.
Reporting to the VP of Data and Insights this role requires a leader who is as comfortable with a technical deep dive as they are with a strategic business discussion. You will be a "player-coach" who can build and mentor a world-class team while personally driving strategic initiatives and ensuring the integrity of our data foundation. A core part of your responsibility will be to champion and enable our AI strategy and technical foundations, ensuring that clean, trusted, and well-governed data is the foundation for all AI initiatives.
With the growth of AI in our Products and our business, Okta’s data is more critical to our success than ever. This role will make sure we continue to support the organization run and grow, while building out the platform for the future. Candidates should be energized by that challenge.
What You'll Do
- Lead and Inspire a High-Performing Team:
Build, mentor, and scale a diverse, high-performing team of data and analytics engineers, fostering a culture of excellence, collaboration, and continuous learning.
- Champion AI Enablement:
Act as a critical partner to the AI Engineering teams. Ensure our data and data infrastructure and practices are optimized to support and accelerate AI development and deployment. This includes defining data governance standards, building high-quality training datasets, and developing scalable data pipelines for AI/ML models.
- Advance the Data Foundation:
Own “back end” data lifecycle for critical business domains, from data ingestion and ETL/ELT pipelines to data modeling, quality assurance, and governance. Ensure a single source of truth for key metrics across the organization.
- Enhance Data Security and Governance:
Partner with Security leaders to define and implement policies and systems to safeguard data privacy, ensure regulatory compliance, and protect sensitive information. This includes establishing robust data access controls, audit trails, and data retention policies.
- Partner Cross-Functionally:
Collaborate closely with technology and business partners, including Product and Engineering leadership, to embed data and analytics into both internal and customer facing product development.
What You Bring
- Experience:
10+ years of progressive experience in data platform, and data engineering, with at least 5+ years in a leadership role.
- AI Know How:
Demonstrated experience in building data foundations and pipelines specifically to support and accelerate AI and machine learning initiatives.
- Technical Expertise:
Deep knowledge of modern data stacks, including data warehousing, ETL/ELT pipelines, data modeling, and Tableau. Proficiency with Python, SQL, and experience with cloud-based data environments that enable AI use-cases (e.g., AWS, GCP, Azure).
- Governance:
Proven ability to build secure solutions for both commercial and public sectors. Experience with Fed Ramp and the public sector cloud strongly preferred.
- Cross-Functional Collaboration:
Exceptional ability to translate technical needs across product and IT platforms. Must also have the ability to communicate complex data concepts to both technical and non-technical audiences.
- Team Development:
A track record of successfully hiring, mentoring, and leading high-performing data teams.
- Problem-Solving:
A strategic mindset and a passion for solving ambiguous, complex business problems with a rigorous, data-driven approach.
#P14112_3419375
The annual base salary range for this position for candidates located in the San Francisco Bay area is between:
$276,000—$379,500 USD
Below is the annual base salary range for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York and Washington. Your actual base salary will depend on factors such as your skills, qualifications, experience, and work location. In addition, Okta offers equity (where applicable), bonus, and benefits, including health, dental and vision insurance, 401(k), flexible spending account, and paid leave (including PTO and parental leave) in accordance with our applicable plans and policies. To learn more about our Total Rewards program please visit: https://rewards.okta.com/us.
The annual base salary range for this position for candidates located in California (excluding San Francisco Bay Area), Colorado, Illinois, New York, and Washington is between:
$246,000—$338,800 USD
The Okta Experience:
- Supporting Your Well-Being
- Driving Social Impact
- Developing Talent and Fostering Connection + Community
We are intentional about connection. Our global community, spanning over 20 offices worldwide, is united by a drive to innovate. Your journey begins with an immersive, in-person onboarding experience designed to accelerate your impact and connect you to our mission and team from day one.
Okta is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, marital status, age, physical or mental disability, or status as a protected veteran. We also consider for employment qualified applicants with arrest and convictions records, consistent with applicable laws.
If reasonable accommodation is needed to complete any part of the job application, interview process, or onboarding please use this Form to request an accommodation.
Notice for New York City Applicants & Employees: Okta may use Automated Employment Decision Tools (AEDT), as defined by New York City Local Law 144, that use artificial intelligence, machine learning, or other automated processes to assist in our recruitment and hiring process. In accordance with NYC Local Law 144, if you are an applicant or employee residing in New York City, please click here to view our full NYC AEDT Notice.
Okta is committed to complying with applicable data privacy and security laws and regulations. For more information, please see our Personnel and Job Candidate Privacy Notice at https://www.okta.com/legal/personnel-policy/.
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Oktaについて

Okta
PublicOkta, Inc. is an American identity and access management company based in San Francisco. It provides cloud software that helps companies manage and secure user authentication into applications, and for developers to build identity controls into applications, websites, web services, and devices.
5,001-10,000
従業員数
San Francisco
本社所在地
$6.5B
企業価値
レビュー
10件のレビュー
3.5
10件のレビュー
ワークライフバランス
3.8
報酬
3.5
企業文化
3.9
キャリア
2.8
経営陣
2.2
65%
知人への推奨率
良い点
Flexible work hours and remote options
Supportive and talented colleagues
Good benefits and competitive salary
改善点
Poor management and leadership direction
Limited growth and slow promotions
High expectations leading to stress/burnout
給与レンジ
267件のデータ
Principal/L7
Staff/L6
Principal/L7 · Principal Product Acceleration Specialist
1件のレポート
$248,362
年収総額
基本給
$191,048
ストック
-
ボーナス
-
$248,362
$248,362
面接レビュー
レビュー3件
難易度
3.0
/ 5
期間
14-28週間
面接プロセス
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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