Job Description:
Squad Lead, Cyber Data Analytics
The Role
As the Squad Lead of one of our Cybersecurity Data Analytics teams, you will lead the group on its mission of being a trusted partner to external and internal clients. Your squad will leverage our most critical asset, data, to support critical decision-making through useful data, analytics, and insights. Through your leadership, the group will help us tell a story of trust which will always be critical for Fidelity. In a dynamic space such as cybersecurity, you will continually collaborate with internal business partners to build new and innovative data solutions (dashboards, data feeds, predictive analytics), as well as proactively help customers/stakeholders with data-driven insights to support their product portfolios. The associate will also help drive alignment to the Enterprise Data Strategy for ECS while collaborating closely with Enterprise Data Architecture and Data Governance functions.
The Expertise and Skills You Bring
- Proven knowledge with data technologies and leading data analytics products and solutions delivery
- Proven leadership skills and demonstrated ability to lead a data engineering team to build and support enterprise-grade data products
- Experience working with data lake solutions such as Snowflake
- Experience with a variety of data platforms and tools preferably cloud-based
- Experience architecting, designing, and implementing modern data movement processes
- Experience with modern business intelligence tooling
- Experience with Data Governance functions and tools
- Committed people leader capable of developing others within your knowledge area to accelerate and achieve increased skill proficiency
- Ability to build and maintain strong cross-functional partnerships and relationships at all levels of the organization
- Excellent interpersonal and communication skills
The Value You Deliver
- Ensuring the team is aligned to strategic business to provide increased value and results for our customers and the business
- Supporting and empowering team members, to enable delivery of increased value in their team’s results
- Enabling an agile and frictionless organization by demonstrating agile behaviors
- Constantly promoting a culture of engineering excellence and continuous improvement
- Proactively partnering with other business stakeholders to influence strategic backlog and prioritization decisions related to your area of expertise
- Measure performance through established objectives and metrics and deliver agreed-upon business, technology, and people results
- Align chapter members across squads and tribes to ensure the best utilization of talent while also building learning opportunities and learning day content to develop skills
- Remove impediments to delivering value
- Actively share insights, knowledge, industry practices, and developments across the organization
The Team
The Cyber Data Analytics team is focused on providing analytics and insights to all stakeholders within Enterprise Cybersecurity. They support all the product areas within Fidelity requiring very close relationships as well as adoption and use of the latest tools and technologies in the data engineering and analytics space.
Company Overview
At Fidelity, we are passionate about making our financial expertise broadly accessible and effective in helping people live the lives they want! We are a privately held company that places a high degree of value in creating and nurturing a work environment that attracts the best talent and reflects our commitment to our associates. We are proud of our diverse and inclusive workplace where we respect and value our associates for their unique perspectives and experiences. For information about working at Fidelity, visit FidelityCareers.com. Fidelity Investments is an equal opportunity employer.
Fidelity will reasonably accommodate applicants with disabilities who need adjustments to complete the application or interview process. Please email us at accommodations@fmr.com or call 800-835-5099, prompt 2, option 2 if you would like to request an accommodation.
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