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Osaic Careers
Vice President, Head of Data Engineering
Location(s) :
Atlanta : 2300 Windy Ridge Pkwy SE, Suite750, Atlanta, GA 30339
La Vista : 12325 Port Grace Blvd, La Vista, NE 68128
Oakdale : 7755 3rd St. N, Oakdale, MN 55128
Scottsdale : 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255
St. Petersburg : 877 Executive Center Dr. W, Suite 300, St. Petersburg, FL 33702
Osaic has returned to a hybrid work schedule, so we are seeking candidates willing to work a split schedule between home and the office.
Role Type : Full-Time
Salary : $185,000 - $210,000 per year + annual bonus
Actual compensation offered will be determined individually, based on a number of job-related factors, including location, skills, experience, and education.
Our competitive salaries are just one component of Osaic's total compensation package. Additional benefits include : health, vision, dental insurance, 401k, vacation and sick time, volunteer days and much more.
To view more details of what you can look forward to, visit our careers page : https : / / careers.osaic.com / Creative / Benefits
Summary :
In this role, you will report directly to the Senior Vice President of Engineering. Your primary responsibility will involve assembling and overseeing a data engineering organization consisting of 50+ members, including engineers, testers, analysts, scrum masters, and engineering managers.
Additionally, you will be responsible for data architecture and data modeling.
Your key mandate will be to lead a multiyear data strategy initiative and implement the next generation of data capabilities supporting various business functions within the firm.
This will encompass defining a vision, formulating a strategy, and guiding the execution of data ingestion, aggregation, distribution, data movement, and reporting / BI capabilities.
As a VP, you are expected to cultivate high-performing and highly engaged teams with agility and a results-driven mindset.
This role requires strong leadership, partnership, communication, and presentation skills. You will be actively involved in leading and participating in various all-hands meetings and offsite discussions.
Additionally, the VP is expected to excel in relationship management, collaborating closely with both technology and non-technology leadership.
Regular interactions with executive leadership are an integral part of this role. Proficiency in Agile methodologies, DevOps, and the ability to modernize software design, development processes, and QA practices is essential.
Furthermore, it is imperative that the individual excels as a great communicator, demonstrating the ability to effectively communicate with business stakeholders, technology partners, and other relevant parties.
Proficiency in fostering positive relationships, conveying complex technical information in an accessible manner, and bridging the gap between technical and non-technical stakeholders is paramount.
The ideal candidate should be a pro at building bridges through effective communication.
Responsibilities :
- People Leadership
- Develop a talent strategy, including acquiring, nurturing, and retaining top talents, while expanding the engineering organization both within and outside the United States.
- Embrace a servant leadership role, motivating and guiding the team, fostering the growth of leaders within the organization.
- Optimize team organization, removing bottlenecks and potential single points of failure, and establish comprehensive succession plans across all organizational levels.
- Offer recommendations related to compensation, performance management, employment decisions, and staffing.
- Effectively manage consultants and vendors to ensure compliance with plans and contractual commitments.
- Engineering leadership
- Define the long-term architectural vision and guide the design, development, and implementation of applications in alignment with this vision.
- Design and develop enterprise data and data architecture solutions using Microsoft technologies like Azure Data Factory, Azure Databricks, SQL Server, and Power BI.
- Ensure that data architecture analysis, design, development, and testing are performed to deliver data applications, services, interfaces, ETL processes, reporting, and other workflow and management initiatives.
- Set and maintain high engineering standards and ensure the team is accountable for meeting these standards.
- Foster consistent DevOps practices across all teams.
- Exhibit proactive problem-solving capabilities and demonstrate the ability to resolve issues effectively.
- Create Software Quality Assurance (SQA) strategy and operational execution plans.
- Delivery
- Instill effective agile standards and provide guidance to the team in managing multiple complex deliveries.
- Implement and monitor various Key Performance Indicators (KPIs) to ensure efficient team operations.
- Deliver concise executive updates to the senior management team.
- Skillfully manage and mitigate risks and issues.
- Coordinate resources and activities to achieve maximum productivity.
- Guarantee appropriate resources and system quality to uphold published service levels and system availability.
- Stakeholder management
- Collaborate with peers in the Product and Technology organizations, earning their trust and influencing them to align with the end-state architecture.
- Act as a bridge between the engineering team and business stakeholders, facilitating effective communication and alignment of goals and priorities.
- Foster a culture of transparency and open communication, encouraging feedback from stakeholders and using it to improve processes and product development.
- Collaborate with external partners, vendors, and third-party service providers to optimize relationships and leverage external expertise when necessary.
- Stay informed about industry trends and emerging technologies, providing insights and recommendations to stakeholders for strategic planning and decision-making.
Education Requirements :
- Bachelor's degree required, or foreign equivalent, in computer science or related field, or compensating industry experience.
- MS or MBA is preferred.
Basic Requirements :
- A minimum of 10 years of experience in the IT field, with a strong preference for candidates who have initiated their careers as data engineers, involved in the design and development of databases, stored procedures, ETL processes, and related areas.
- At least 7 years in a management role, demonstrating the ability to lead multiple teams within a large engineering organization.
- A track record of 5 or more years in leading data architecture and data modeling practices.
- 5 or more years of experience in AI and ML methodologies
- 5+ years of experience with Agile Software development at the enterprise level, familiarity with Scaled Agile.
- 5 years of experience with ADO or JIRA.
- Ability to utilize project development methodology tools; perform a cost-benefit analysis and economic feasibility studies;
manage across multiple systems.
- Technical management background, ability to match business plans with cost-effective technical solutions
- Multi-year experience managing development using one or more of the following : SQL Server, Snowflake, Oracle, PowerBI, Alteryx.
- Experience with data modeling, complex data structures, data processing, and data quality and data lifecycle
- Knowledge of Test-Driven Development
- Knowledge of building applications by adopting DevOps practices such as CI (Continuous Integration) & CD (Continuous Deployment)
- Knowledge of financial services, especially in Financial Broker Dealer operations, is a plus.
- Able to manage team interaction between core application development teams located throughout the world
- Project and people management
- Effective Communicator, both written and verbal.
Current Employees and Contractors Apply Here