Senior Manager, Data Engineering

Transamerica•Cedar Rapids, IA

1d•$144,000 - $190,000•Hybrid

About The Position

The Senior Manager of Data Engineering is focused on the development of modern architectures to enable data-driven digital business across the enterprise. Helps define data strategies, grow capabilities, and develop the enterprise data platform team. Provides team members with career development opportunities, mentoring, and guidance in architectural and design decisions.

Requirements

Bachelor’s degree in computer science, math, engineering, or relevant technical field
Eight years of collective experience in the application of data engineering, data analytics, data warehousing, business intelligence, database administration and data integration concepts and methodologies
Six years of experience in delivery of large-scale data projects across a broad spectrum of enterprise operational functions
Four years of experience managing diverse cross-functional team
Strong background with execution of DevOps methodologies and continuous integration/continuous delivery within a large-scale data delivery environment
Familiarity with data science techniques and frameworks
Demonstrated leadership capability and ability to effectively communicate with all levels of management
Able to effectively communicate with both technical and non-technical audiences.
Strong oral and written communication skills to lead white board discussions and presentations, and provide information to technical and non-technical audiences
Creative thinker with strong analytical skills to synthesize ambiguous and complex information and formulate substantive actionable outcomes
Results oriented with a strong customer focus
Proficiency in driving change, questioning assumptions, and pushing for innovative solutions
Ability to work in a complex, highly matrixed environment, and identify, define, and resolve organizational issues
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Nice To Haves

Master’s degree in a technical field (e.g. computer science, math, engineering)
Understanding of big data and real time streaming analytics processing architecture and ecosystems
Experience with data warehousing architecture and implementation
Experience with advanced analytics and machine learning concepts and technology implementations
Experience with data analysis and data visualization tools
Relevant technology or platform certification (AWS, Microsoft, etc.)

Responsibilities

Provide technical guidance and leadership to the enterprise data platform team in order to deliver quality solutions and deliver a robust data processing infrastructure for the enterprise.
Partner with stakeholders across the organization to provide direction and translate strategic priorities/goal into defined tactical action plans and milestones.
Work with cross functional leaders to understand and influence business strategy, set priorities, and define technology goals.
Identify opportunities related to data assets and champion the development of a real-time, self-service, analytically driven business model utilizing business intelligence solutions, data visualization, big data, data marts, and data warehouse systems to improve business processes, solve business problems, and enhance decision-making capabilities.
Ensure high quality service is achieved through oversight, monitoring key performance indicators and internal controls and keeping abreast of market events and industry changes.
Experiment with new technologies and participate in internal/external technology communities to keep up with technical trends.
Act quickly and appropriately to solve problems, bring clarity, and minimize the impact of unforeseen circumstances.
Embrace and demonstrate a culture of change and innovation which constructively challenges the status quo and leads to prudent experimentation.
Have a growth mindset with the ability to adopt new practices and spearhead adoption.
Partner across technical platform ownership to define and drive the on premise and cloud information management strategy.
Oversee the quality, delivery, performance, cost and scope for data engineering initiatives.
Develop staff through coaching, provide timely performance feedback and assessments and establish performance and development plans.
Mentor current and future leaders, ensuring a constantly rising bar in technical excellence and professional growth.

Benefits

Competitive Pay
Bonus for Eligible Employees
Benefits Package
Pension Plan
401k Match
Employee Stock Purchase Plan
Tuition Reimbursement
Disability Insurance
Medical Insurance
Dental Insurance
Vision Insurance
Employee Discounts
Career Training & Development Opportunities
Paid Time Off starting at 160 hours annually for employees in their first year of service.
Ten (10) paid holidays per year (typically mirroring the New York Stock Exchange (NYSE) holidays).
Be Well Company holistic wellness program, which includes Wellness Coaching and Reward Dollars
Parental Leave – fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service at the time of birth, placement of an adopted child, or placement of a foster care child.
Adoption Assistance
Employee Assistance Program
Back-Up Care Program
PTO for Volunteer Hours
Employee Matching Gifts Program
Employee Resource Groups
Inclusion and Diversity Programs
Employee Recognition Program
Referral Bonus Programs