Director, Investment Data & Intelligence

Transamerica•Cedar Rapids, IA

2d•$173,000 - $215,000•Hybrid

About The Position

We are seeking a highly strategic, hands-on Principal / Director of Investment Data Engineering & Visualization to lead the design, development, and evolution of our investment data platform and analytics capabilities. This is a unique opportunity for a leader who thrives at the intersection of investment management, data engineering, analytics, and product innovation. As both a visionary and builder, you will define the firm's investment data strategy while remaining close to execution—architecting platforms, delivering analytics solutions, mentoring engineers, and partnering directly with investment and executive leadership. You will own the end-to-end investment data lifecycle, transforming complex financial and market data into trusted, scalable, and actionable insights that power investment decisions, portfolio management, client reporting, and business growth. In a fast-paced, entrepreneurial environment, this role requires someone who is equally comfortable designing enterprise architecture, building proof-of-concepts, leading teams, engaging clients, and influencing company strategy.

Requirements

Bachelor’s degree in computer science, Engineering, Information Systems, Finance, Mathematics, or related field
10 - 15 years of experience in data engineering, analytics, investment technology, or data platform leadership.
Experience supporting asset management, wealth management, fintech, hedge funds, institutional investing, private markets, or capital markets.
Strong understanding of portfolio management, investment operations, risk management, performance measurement and attribution, and security master and investment reference data.
Expertise in Python, SQL, Cloud platforms (Azure, AWS, or GCP), modern data architecture, data modeling and pipeline development, and API integration frameworks.
Experience with modern visualization and reporting tools such as Power BI, Tableau, ThoughtSpot, or similar platforms.
Demonstrated ability to lead while remaining technically hands-on.

Nice To Haves

Master's degree in technical or quantitative discipline.
CFA, CAIA, CIPM, FRM, or similar industry certifications.
Experience with Snowflake, Databricks, Microsoft Fabric, Aladdin, Bloomberg, FactSet, MSCI, Morningstar.
Experience building customer-facing analytics products.
Background in startup, scale-up, or high-growth technology environments.

Responsibilities

Define and execute the vision, roadmap, and operating model for investment data and analytics.
Build a scalable foundation for data-driven decision-making across investment, product, operations, and executive teams.
Establish data governance, quality, lineage, stewardship, and security standards.
Lead and grow a high-performing team of data engineers, analytics engineers, and visualization professionals.
Serve as the firm's thought leader for investment data architecture and analytics innovation.
Architect and build cloud-native data platforms supporting current and future business growth.
Develop scalable pipelines and integration frameworks for market data, security master and reference data, portfolio holdings and transactions, performance and attribution data, risk analytics, ESG and alternative datasets, and private market and alternative investment data.
Design data lake, lakehouse, and warehouse architectures that balance flexibility, scalability, and governance.
Implement robust monitoring, observability, and data quality controls.
Create best-in-class investment analytics and visualization platforms.
Deliver intuitive dashboards and interactive reporting tools for executives, investment teams, clients, and operational stakeholders.
Develop visualizations supporting portfolio performance, asset allocation, risk exposures, attribution analysis, trading activity, capital flows, and investor and client reporting.
Enable self-service analytics while maintaining trusted data standards.
Partner with product and investment teams to transform data assets into differentiated products and capabilities.
Identify opportunities to leverage AI, machine learning, and generative AI to improve investment research, portfolio analytics, and operational efficiency.
Champion automation and eliminate manual reporting and operational processes wherever possible.
Explore unconventional approaches and emerging technologies that create competitive advantage.
Work directly with executives, portfolio managers, analysts, and clients.
Translate business objectives into scalable data and analytics solutions.
Present findings, recommendations, and platform strategies to senior leadership and external stakeholders.
Support strategic initiatives, partnership discussions, customer engagements, and growth opportunities.

Benefits

Competitive Pay
Bonus for Eligible Employees
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