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Transamerica

Financial services and longevity planning

Director Investment Data & Intelligence

Data EngineeringConfirmed live in the last 24 hours
Full-time

About the Job

Requirements

  • A bachelor's degree in computer science, engineering, information systems, finance, mathematics, or a related field is required.
  • 10–15 years of experience in data engineering, analytics, investment technology, or data platform leadership is required.
  • Experience supporting asset management, wealth management, fintech, hedge funds, institutional investing, private markets, or capital markets is required.
  • Strong understanding of portfolio management, investment operations, risk management, performance measurement and attribution, and security master and investment reference data is required.
  • Expertise in Python, SQL, cloud platforms (Azure, AWS, or GCP), modern data architecture, data modeling and pipeline development, API integration frameworks, and Power BI is required. Power BI expertise includes semantic models, DAX, enterprise governance, executive dashboard development, self-service analytics, and visualization best practices.
  • Expertise with modern visualization and business intelligence platforms, including Power BI, Tableau, ThoughtSpot, and similar technologies, is required.
  • Experience leading business intelligence, reporting, dashboard development, and visualization teams in a data-driven organization is required.
  • A master's degree in a technical or quantitative discipline is preferred.
  • CFA, CAIA, CIPM, FRM, or similar industry certifications are preferred.
  • Experience with Snowflake, Databricks, Microsoft Fabric, Aladdin, Bloomberg, FactSet, MSCI, or Morningstar is preferred.
  • Experience building customer-facing analytics products is preferred.
  • A background in startup, scale-up, or high-growth technology environments is preferred.

Responsibilities

  • Define and execute the vision, roadmap, and operating model for investment data, business intelligence, reporting, 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, business intelligence developers, and visualization professionals.
  • Establish and drive the enterprise reporting and visualization strategy, ensuring Power BI and other analytics platforms deliver actionable insights to executives, portfolio managers, analysts, clients, and operational teams.
  • Serve as the firm's thought leader for investment data architecture, analytics, reporting, and visualization 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, environmental, social, and governance datasets, 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.
  • Own the firm's investment analytics, business intelligence, reporting, and visualization strategy, with Power BI serving as a core enterprise platform.
  • Create investment analytics, reporting, and visualization platforms that enable real-time decision making.
  • Design, develop, and oversee executive-grade dashboards, scorecards, and self-service reporting solutions for investment, risk, operations, and business performance.
  • Lead the development and governance of Power BI semantic models, datasets, reporting standards, key performance indicators, and visualization best practices.
  • 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.
  • Partner with executives and business leaders to define key performance indicators, reporting frameworks, and decision-support analytics.
  • Ensure reporting and visualization environments are scalable, secure, governed, and trusted as enterprise sources of truth.
  • Drive adoption of self-service analytics capabilities through Power BI and modern visualization platforms while maintaining strong governance and data quality controls.
  • Evaluate and implement emerging analytics, visualization, artificial intelligence, and generative artificial intelligence capabilities that improve business insight and decision-making.
  • Partner with product and investment teams to transform data assets into differentiated products and capabilities.
  • Identify opportunities to leverage artificial intelligence, machine learning, and generative artificial intelligence 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.
  • Develop advanced analytics and visualization capabilities that transform complex investment data into actionable intelligence for internal and external stakeholders.
  • 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.
  • Build and scale a modern investment data platform capable of supporting significant business growth.
  • Establish trusted, governed investment data across the organization.
  • Launch executive-grade portfolio, risk, and performance analytics dashboards.
  • Increase adoption of self-service analytics and reduce dependency on manual reporting.
  • Deliver automation initiatives that improve operational efficiency.
  • Create a roadmap for artificial-intelligence-enabled investment intelligence and decision support.
  • Recruit and develop a world-class data engineering and analytics team.
  • Position data and analytics as a strategic differentiator for the company.

Desired Qualifications

  • Builder mentality with an ownership mindset.
  • Balances strategic vision with execution excellence.
  • Comfort operating in ambiguity and rapidly changing environments.
  • Strong executive presence and communication skills.
  • Ability to influence across technical and business functions.
  • Proven track record of building teams, platforms, and processes from the ground up.
  • Passion for innovation and using data to solve complex investment challenges.

About the Company

Transamerica

Financial services and longevity planning

Transamerica helps financial professionals, brokers, agents, advisors, and employers design and deliver financial plans that adapt to longer lifespans. It provides life and retirement solutions distributed through its network (Transamerica Capital, Inc.) to empower clients and employees to pursue their goals at every stage of life. Its products work by using advisor-led planning and tailored financial solutions to cover life events, retirement, and ongoing financial needs across multiple stages. The company differentiates itself by focusing on longevity planning and multi-stage life planning through a broad advisor and employer distribution network, and by offering a suite of products designed to help people take control of their financial future. Its goal is to help people live their best life by providing guidance and products that support financial security as life stages extend.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Baltimore, MD
Founded
1904

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