Senior Director Product and Analytics

Position Sr. Director, Product & Analytics (US Verticals) Location New York City Overview MiQ is seeking a Sr. Director, Product & Analytics to lead the US vertical product pod and custom analytics function within the US Product & Solutions org. This role owns the product team charter, drives roadmap execution, and ensures that what gets built is commercially sharp, AI-forward, and tied to measurable business outcomes. Responsibilities Lead the US local vertical product pod—Product Lead and PMs building MiQ’s vertical intelligence products across Healthcare, CPG, Travel, Political, and Social; and custom analytics for the Indies & Brand Direct segment. Product Team Leadership & Commercial Development: Directly manage the Product Lead and PMs; own their performance, development cadence, and output quality. Guide the team to think commercially—ensure every roadmap item connects to a client need, a revenue outcome, or a defensible competitive position. Set and maintain consistent expectations for deliverables, timelines, and quality; address gaps directly and early. Push the PM pod to operate across two distinct tracks: Discovery (prototyping, future‑state definition, AI/agentic exploration) and Delivery (execution, release, GTM)—these are not the same motion and should never collapse into one. AI‑Forward Product Thinking: Champion a product culture that draws on how leading technology platforms embed AI and agentic flows into their core experiences, and define what the right analogy is for MiQ’s products. Drive PMs to lead discovery through hands‑on prototyping and working artifacts—validate before committing to a delivery track. Evaluate which AI or agentic infusions are genuinely relevant to MiQ’s vertical products vs. noise; make that call with rigor and defend it. Set the standard for what "future‑looking product definition" means on this team. Product Roadmap Ownership & Execution: Work with the US Product & Strategy leadership to ensure the roadmap reflects US business priorities and is anchored to commercial OKRs. Own the US vertical product roadmap—prioritization, sequencing, and stakeholder alignment—ensuring every item is tied to business priorities and growth areas. Maintain a clear and auditable view of exact releases, timelines, and status across all in‑flight vertical products. Serve as the connective tissue between strategy and execution—translate top‑down direction into a sequenced, resourced, and trackable plan. Keep a continuous pulse on team productivity: velocity, blockers, and capacity—surface shortfalls before they become delays. CoE Collaboration & Engineering Alignment: Serve as the primary product‑side interface with the CoE engineering squads and own the relationship, not just the ticket queue. Drive roadmap alignment with CoE leads through structured quarterly planning and regular checkpoint cadences. Work with the Program Management team to track releases end‑to‑end; maintain a live view of what’s in flight, what’s at risk, and what’s shipped. Ensure CoE capacity is correctly mapped to the priority areas of the business—flag misalignment early and advocate for the right resource allocation against the roadmap. Ensure processes between the product pod and CoE are clearly defined, consistently followed, and improve over time—reduce friction, increase throughput. GTM & Sales Marketing Partnership: Work closely with the Sales Marketing team on every product release—provide narrative inputs, define key differentiators, and ensure the commercial story is grounded in actual product capability. Ensure product releases don’t land without a positioning framework that Sales can use immediately in RFPs, pitches, and client conversations. Connect roadmap milestones to GTM pillars: Specialization, Simplification, Differentiation, Measured Impact. Data Partner Strategy & Operationalization: Partner with the Strategy & Partnerships Lead to scope, evaluate, and operationalize new vertical data partners. Own the audit framework for partner fit within the product strategy—does the data actually enable a differentiated product, or does it add complexity without value? Ensure implementation follows through: a signed data partner with no product integration is a failed partnership. Maintain ongoing alignment between the partner pipeline and the product roadmap. Custom Analytics—Indies & Brand Direct: Define the strategy and architecture for custom analytics supporting the mid‑market segment. Build repeatable measurement frameworks; reduce one‑off analytical lift through tooling and standardization. Drive adoption of AI‑assisted analytics workflows across the team. Qualifications 10+ years in product management, analytics, or a hybrid role at a data‑intensive company—adtech, martech, or programmatic media experience strongly preferred. Proven experience managing and developing product teams (PMs, Analytics/Solutions or equivalent) — raise the commercial IQ of a team, not just manage task output. Experience in Python and other data science languages—comfortable working with data outputs, evaluating analytical work, and engaging credibly with engineering and data science teams. Experience owning a multi‑product roadmap with direct revenue accountability—made real prioritization calls with real trade‑offs. Demonstrated ability to maintain a disciplined separation between discovery and delivery—run both tracks simultaneously and keep them from collapsing into each other. Operational instinct: build systems (tracking, release management, review cadences) that keep a team aligned without constant escalation. Strong Preference Familiarity with programmatic data ecosystems—ACR, bid stream, clean rooms, identity graphs, DSP measurement. Experience evaluating and onboarding data partners with a structured fit‑assessment framework. Background productizing AI/ML outputs—building a client‑facing product layer on top of a model or agent output. Experience working in a matrixed org where product decisions required alignment across commercial, engineering, and data science functions. Impact This role is at the center of how MiQ builds and scales vertical product advantage in the US. You’ll develop a commercially sharp product team, bring AI‑forward thinking into the discovery process, and ensure that every release lands with a clear business rationale and a GTM motion behind it—helping MiQ win in Healthcare, CPG, Travel, Political, and beyond. Benefits A hybrid work environment. New hire orientation with job‑specific onboarding and training. Internal and global mobility opportunities. Competitive healthcare benefits. Bonus and performance incentives. Generous annual PTO, paid parental leave, with two additional paid days to acknowledge holidays, cultural events, or inclusion initiatives. Employee resource groups designed to connect people across all MiQ regions, drive action, and support our communities. Pay Transparency For individuals assigned and/or hired to work in New York City, MiQ is required by law to provide a reasonable estimate of the compensation range for this role. This range is specific to New York City. A reasonable estimate of the current base compensation range for this position is $190,000–$250,000. This range may vary for positions outside New York City and does not include bonus and commission structures. Equal Opportunity Employer MiQ is an equal opportunity employer. E‑Verify Employer. #J-18808-Ljbffr MiQ