Real intel on a real account, in about six minutes.

As the VP of Enterprise Data Architecture, she is the closest match to Riverline's Tier 1 buyer persona. She directly owns the integration architecture roadmap that any Riverline deployment would land inside.

She likely struggles with fragmented data landscapes and manual change-data feeds across legacy systems like DB2 z/OS and DataStage, especially with the impending unified post-merger data platform.

She cares about real-time data freshness across the hybrid estate, lineage of regulated data across mainframe and cloud destinations, and decommissioning brittle nightly batch ETL jobs.

She is highly focused on the upcoming mainframe-modernization initiative and the post-merger consolidation of the Coastline and Allegheny data estates, ensuring legacy DB2 z/OS data integrates smoothly with the new analytics platform.

💡She holds a long-tenured (11 years) technical leadership role specifically dedicated to integration architecture at Northridge Federal Bank.

💡Public conference talk on mainframe modernization at the Mid-Atlantic Bank Architecture Summit (March 2026) is the cleanest warm-intro vehicle.

Newly-hired Chief Data Officer with a public mandate cited in trade press. Executive sponsor and economic buyer above the $250K POV threshold — but at 3 months in tenure, fielding inbound vendor pitches and not yet in vendor-selection mode.

Inherited a complex hybrid estate at mid-modernization, and her public mandate explicitly names real-time risk and fraud as her two highest-visibility deliverables.

She cares about demonstrating real-time decisioning capacity, unifying the post-acquisition data estate, and audit-readiness narratives she can carry to the board.

She is in listening-tour mode for the first 4–6 months and will rely on Marisol Chen's technical evaluation before signing a POV.

💡Joined from a larger national bank where she previously ran the AI-and-data center of excellence.

💡"Meet the new CDO" internal press release shared on LinkedIn by 40+ Northridge employees — strong internal sponsorship pattern.

Direct match to Riverline's Tier 2 Technical Champion persona. Has publicly aired pain that maps almost verbatim to Riverline's messaging. Will not sign a deal, but will sponsor a POV and walk it through the org.

Operates the brittle nightly-ETL stack and inherits every alert page when a batch lands late. Real-time and CDC capabilities map directly to his stated pain.

He cares about eliminating batch-latency tax on downstream analytics, simplifying the ETL job inventory, and growing his org's streaming capability.

Recently added "Apache Kafka" to LinkedIn skills — actively skilling up on the streaming layer that Riverline operates inside.

💡Reports directly to Marisol Chen — a clean intro path from the recommended first contact.

💡4 years at Northridge; prior tenure at a mid-Atlantic regional bank in a similar role.

Owns BCBS 239 readiness and lineage proof. Will be the required audit-side signoff on any deal where lineage is in scope. Reports to Chief Risk Officer, not the CDO.

Audit-readiness across the legacy estate (DB2 z/OS, DataStage) plus DORA exposure inherited via the Allegheny European subsidiary creates a defensible audit pain Riverline can speak to.

She cares about defensible lineage evidence, point-in-time snapshots for examiners, and avoiding any vendor relationship that would create new compliance liability.

Recently quoted in a regional banking trade publication on lineage standards and panel-speaking on supervisory expectations for data quality.

💡6 years at Northridge in data-governance leadership. Prior bank-side regulatory examiner experience.

💡Best engaged AFTER Marisol is technically convinced — loop her in for the audit-readiness narrative once a POV is scoped.

Newly-formed function (Real-Time Risk Analytics) — exactly the use case Riverline's Managed Streams + CDC stack enables. Strong technical fit; budget signoff via CDO and CRO.

Inheriting batch-based fraud detection signals that lag 6–24 hours. Riverline's mainframe CDC + Kafka-compatible streams collapse this to seconds.

He cares about fraud-detection latency, customer-experience analytics, and the streaming infrastructure his team will inherit.

Hiring a Director (job posting confirmed); cannot ship the real-time mandate without the underlying streaming and CDC plumbing in place.

💡Prior background at a large credit card issuer's fraud-and-risk org — has built real-time stacks before.

Required signoff on any new vendor that touches mainframe data or sits in the data plane. Particularly sensitive to mainframe LPAR access patterns.

Concerned about vendor attack surface and the security posture of any net-new data plane. Will accept Riverline's agentless / log-based mainframe extraction as a security positive.

He cares about minimizing attack surface, demonstrating defensible vendor controls, and SOC 2 / FedRAMP-aligned posture from any vendor admitted into the regulated estate.

Public conference talk on "third-party risk in the bank data plane" — signal that he is actively thinking about vendor-attack-surface posture.

💡9 years at Northridge; prior security leadership at a top-25 US bank.

Direct reports to Marisol Chen. Owns the day-to-day integration platform — including the Mulesoft Anypoint estate. The technical evaluator on any iPaaS displacement motion.

Inherits every Mulesoft renewal-cost escalator and every brittle SOAP/XML pipeline. Real-time event-driven architectures are exactly what she cannot deliver on the current iPaaS.

She cares about reducing iPaaS license cost, supporting real-time use cases the iPaaS can't, and a graceful migration path that doesn't break the existing integration estate.

3 open Mule integration roles on her team — she is operating with active vacancy and a Mulesoft renewal window approaching.

💡7 years at Northridge; reports to Marisol Chen — clean intro vehicle.

The technical guardian of the mainframe environment. Will be the deepest technical scrutiny on any vendor proposing to read from DB2 z/OS or IMS.

Asked to "unlock mainframe data" for downstream consumers without disrupting operational performance. Riverline's log-based, agentless extraction is engineered for exactly this constraint.

He cares about LPAR stability, IBM-stack vendor neutrality, and a clean exit strategy from nightly batch-based extracts.

SHARE conference 2025 attendee — actively engaged in the mainframe-modernization community.

💡18 years on IBM mainframe systems; the senior technical voice in the room on any z/OS decision.

Owns the cloud destinations Riverline streams land in (Snowflake, Tableau, the unified analytics platform). His architectural buy-in unblocks deployment.

Receives the data; cares about freshness, schema stability, and the operational overhead of additional pipelines into his cloud estate.

He cares about lower per-pipeline operational cost, schema-evolution handling, and predictable cloud-egress patterns.

Recent partner-listing for the bank with a major cloud-data vendor confirms an active cloud-modernization stream.

💡5 years at Northridge; prior cloud-architecture role at a top-50 US bank.

Executive-level audit/compliance signoff. Particularly relevant given the DORA exposure inherited via the Allegheny European subsidiary and BCBS 239 audit posture.

Demonstrating defensible lineage and audit evidence to examiners on short notice. Riverline's audit-readiness story maps here.

She cares about regulatory readiness, defensible audit trails, and minimizing examination remediation time.

Active panel speaker on supervisory expectations — strong external visibility on the regulatory side.

💡10 years at Northridge; prior in-house counsel role.

Owns end-to-end data quality across the warehouse and lakehouse. Will own the validation layer that consumes Riverline change-data streams.

Catches every data-quality regression introduced by the post-merger integration. Strong incentive to advocate for cleaner upstream feeds.

She cares about deterministic, observable data flows and reduced post-merger reconciliation burden.

Author of internal post-merger reconciliation runbooks (referenced in public-facing partner case studies).

💡3 years at Northridge; previously at a buy-side asset manager's data-quality team.

Owns the post-merger integration program for Coastline and Allegheny. Decides which data systems are consolidated, retired, or run in parallel.

Multiple distinct core banking platforms produce fragmented data estates. Cross-platform streaming + CDC is exactly what eases the consolidation timeline.

He cares about hitting the 18-month integration timeline, minimizing parallel-run risk, and keeping downstream analytics functional during the transition.

The Coastline integration is at month 14 of an 18-month plan; the Allegheny integration is at month 5. Active workload, active need.

💡Career banker; previously led integration of two prior bank acquisitions at another regional.