Sr. Data Product Manager

INNOCEAN•Huntington Beach, CA

53d•$140,000 - $155,000•Hybrid

About The Position

INNOCEAN USA is seeking a Senior Data Product Manager to join its Data Engineering team. This specialized role leads complex technical workstreams, particularly the Request for Information (RFI) and procurement evaluation process for enterprise Identity Resolution providers and customer data infrastructure. Working closely with an Account Supervisor and internal stakeholders, the role coordinates technical evaluation, translates data architecture requirements into vendor evaluation frameworks, manages project timelines and scope, and supports cross-functional alignment from project kickoff through final recommendation. The position also manages delivery workflows for identity resolution requirements, tag management initiatives, and data layer specifications, converting them into Jira work items and coordinating schedules, status reporting, meetings, and sign-offs across technical and client-facing teams. The role proactively addresses scope changes, bottlenecks, and delivery risks, and maintains quality and governance throughout the RFI and technical integration life cycles. This is a short-term role with strong potential to continue in 2027. The position is based at the Huntington Beach HQ Office and follows a hybrid schedule of three days in the office and two days remote. Local candidates only.

Requirements

At least 6 years of technical project management experience within a digital advertising agency, martech consultancy, or data-driven client organization.
Conceptual understanding of Identity Resolution, first- and third-party data strategy, identity graphs, tag management systems, data layers, and privacy and security principles.
Demonstrated experience managing enterprise vendor evaluation processes (RFI/RFP) and corporate procurement workflows.
Expert-level fluency in Jira, Confluence, Smartsheet, or Basecamp for schedule creation, dependency mapping, and milestone enforcement.
Strong mastery of Agile/Scrum and Waterfall methodologies in cross-functional agency environments.
Exceptional organizational skills and ability to balance multiple technical workstreams in a fast-paced agency setting.
Outstanding written and verbal communication skills, including the ability to bridge technical concepts among data engineers, agency account managers, and client executives.
Strong critical thinking, adaptability, and judgment when negotiating scope or shifting priorities.

Nice To Haves

Direct agency experience on automotive or high-volume consumer data accounts.
Knowledge of identity vendors such as LiveRamp, Epsilon, and Merkle, identity resolution graphs, and modern Customer Data Platforms (CDPs).
PMP or Certified ScrumMaster (CSM) certification.

Responsibilities

Lead the end-to-end identity resolution RFI/RFP process, including developing scoring matrices, receiving vendor documentation, facilitating meetings, and tracking milestones.
Drive vendor contract negotiations, partner reviews with client cost consultants, and legal and procurement workflows.
Coordinate vendor briefings, privacy and data security assessments, and contract routing protocols with an Account Supervisor and internal stakeholders.
Facilitate synthesis sessions with Data Engineering, Data Science, and Client Strategy teams to assess vendor capabilities against client-specific automotive identity infrastructure goals.
Translate identity resolution requirements, tag management initiatives, and data layer specifications into Jira epics, user stories, and tasks.
Manage internal delivery schedules to align with external client milestones and balance scope, schedule, and resources.
Lead daily and weekly standups, track status in Jira or Smartsheet, and report progress to internal technical teams and client-facing account leadership.
Schedule and facilitate technical kick-offs, re-briefs, legal reviews, and deliverable sign-offs across multidisciplinary teams.
Identify scope creep, technical bottlenecks, and delivery risks, and recommend mitigation strategies before deadlines are affected.
Enforce quality checks and governance checkpoints throughout RFI and technical integration life cycles.
Maintain clear communication among technical leads, account supervisors, and executive stakeholders to prevent deliverable misalignment.