Data Engineer at Regions Bank focusing on designing and maintaining data structures for analytics. Collaborating with technical teams to deliver data - driven business value and products.
About the role
- Director of Data & Analytics leading data strategy for Reach Financial, enhancing decision-making through a data-driven culture. Guiding a team to innovate and implement scalable data solutions.
Responsibilities
- Define and execute a clear data and analytics strategy aligned with Reach’s business goals and growth priorities.
- Partner with senior leadership in Risk, Capital Markets, Finance, Operations, Marketing, and Product to embed data into every key decision.
- Establish a unified architecture and measurement framework across business lines.
- Anticipate trends in data and AI, positioning Reach to adopt high-impact innovations ahead of the curve.
- Drive transformation toward a cloud-first, scalable, governed data platform that enables real-time analytics and responsible AI.
- Lead the evolution of Reach’s modern data stack (Fivetran, dbt, Snowflake, Tableau) to maximize reliability, scalability, and cost efficiency.
- Implement best practices for ingestion, transformation, observability, and data quality.
- Champion strong data governance, lineage, and discoverability through automation and tooling.
- Continuously evaluate new technologies and vendors that deliver measurable business value.
- Develop a unified analytics layer that powers self-service reporting and executive decision-making.
- Ensure business teams can independently access accurate, timely insights to drive product, risk, and operational outcomes.
- Translate complex data into clear narratives that inform strategy and create business clarity.
- Ensure data product ownership principles by ensuring models, pipelines, and datasets are treated as reliable, discoverable, and reusable assets.
- Partner with the Data Science team to evolve ML models for credit, fraud, pricing, and collections.
- Collaborate to expand AI/ML use cases into new domains such as marketing, service, and operations.
- Help establish a scalable, explainable ML Ops practice to ensure compliant and efficient model development and deployment.
- Define processes that allow for rapid experimentation and measurable impact.
- Establish clear SLAs, data quality standards, and cost controls to ensure the data function operates as a disciplined, high-performing organization.
- Embed data observability and incident management into daily workflows.
- Continuously improve internal processes to increase delivery velocity, reduce latency, and enhance reliability.
- Build, mentor, and scale a high-performing data team spanning engineering, analytics, and data product management.
- Foster a culture of accountability, curiosity, and innovation grounded in transparency and trust.
- Develop leadership depth within the team and support cross-functional collaboration across departments.
- Represent Reach’s data capabilities internally and externally as a thought leader and advocate.
Requirements
- 10+ years of experience in data and analytics, with at least 5 years leading high-performing cross-functional teams.
- Deep understanding of modern data architecture, governance, and analytics within a regulated industry (fintech, lending, or financial services).
- Proven track record of scaling data teams and platforms in high-growth environments.
- Strong communicator who can simplify complex data concepts for executives and non-technical stakeholders.
- Experienced in operationalizing data governance, self-service analytics, and data products.
- Strategic thinker who can balance long-term vision with hands-on execution.
- Forward-looking leader with curiosity about AI, automation, and emerging data technologies.
Benefits
- Healthcare, Life Insurance, 401k/RRSP Match
- Paid Time Off, Parental Leave
- Disability (short-term, long-term), Employee Assistance Program
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