About the role
- Technology KPI leader shaping enterprise strategy measurement at Morgan Stanley, a global financial services firm. Building trusted metrics, data architecture, dashboards, and executive insights.
Responsibilities
- Define, standardize, and govern metrics and KPIs tracking the firm's strategic technology priorities
- Develop leading and lagging indicators covering adoption, modernization, technology health, resilience, governance maturity, productivity, operational efficiency, platform convergence, and business value
- Establish consistent measurement approaches across technology strategy pillars
- Produce strategic insights, trend analyses, executive dashboards, and reporting
- Build self-service analytics environments evolving from static reporting to interactive, model-driven exploration
- Design and deliver technical architecture for aggregating, publishing, and querying enterprise strategy datasets
- Perform reconciliation, normalization, stewardship, lifecycle management, and repeatable publication of metrics
- Define semantic models, metadata standards, business glossaries, lineage requirements, and data quality controls
- Source and validate metrics from systems of record, program inventories, operating dashboards, and trusted enterprise data sources
- Incorporate resilience, technology-health, risk, control, and readiness indicators into the broader strategy narrative
- Partner with senior stakeholders and facilitate alignment across groups with differing priorities
- Curate proposed strategy metrics through adoption as finalized reporting measures
Requirements
- 10+ years of experience in data engineering, data architecture, analytics, KPI development, technology strategy, or technology governance
- Track record engaging senior stakeholders across large, complex organizations
- Experience defining, implementing, and governing enterprise-scale metrics and performance measurement frameworks
- Experience with scorecards, executive KPI dashboards, strategic measurement frameworks, and multi-source reporting environments
- Ability to transform fragmented technology data into trusted, actionable insights
- Hands-on experience designing data pipelines, dimensional and canonical data models, reconciliation logic, curated data products, and reusable analytical datasets
- Experience with enterprise platforms such as Snowflake, Databricks, Dataiku, or similar technologies
- Knowledge of data modeling, semantic modeling, metadata management, data governance, and data quality practices
- Knowledge of profiling, validation rule design, lineage mapping, metric definition, business glossary development, and reference data standardization
- SQL and Python skills for data analysis, validation, prototyping, and exploration
- Power BI or Tableau experience preferred but not required
- Understanding of technology modernization, enterprise platforms, software engineering, cloud technologies, architecture governance, operational resilience, technology risk, and emerging technology capabilities
- Communication and stakeholder management skills
- Analytical and problem-solving capabilities
- Knowledge of French and English is required
Benefits
- Comprehensive employee benefits and perks
- Support for employees and their families throughout their work-life journey
- Opportunities for internal mobility and career development
- Hybrid work environment combining remote work and office attendance
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