Senior Media Planner (Luxury & E-commerce)

We're hiring a Senior Media Planner who operates as both architect and operator across the full paid media stack. You have substantial experience working with e-commerce & Luxury brands . You will scope, model, and activate omnichannel media plans spanning paid social (Meta, TikTok, LinkedIn, Pinterest, Reddit, Snap), paid search (Google Ads, Microsoft Ads, Apple Search Ads), programmatic display and video (DV360, The Trade Desk, Amazon DSP), and emerging CTV and retail media inventory. Ownership is full-funnel and hands-on: forecasting via historical CPMs, CPCs, and conversion rates; building media plans in Excel or Google Sheets with weekly flighting; trafficking through CM360 or native ad servers; QA of UTM taxonomy and pixel firing via GTM and Meta CAPI; in-platform optimization against tCPA, tROAS, or Max Conversions bid strategies; and post-campaign measurement using MTA, MMM-informed reads, or geo-based incrementality tests. Strategy is not handed off downstream; the same person who builds the plan executes it in the bidder. You will translate platform telemetry (delivery curves, frequency caps, win rates, CPM volatility, auction density, conversion lag) into prescriptive recommendations grounded in business KPIs. You will present narratives to CMOs, VPs of Growth, and founders, defend bid logic and budget reallocations with data, and operate as a strategic counterpart rather than an order-taker. You will partner with brand strategists, ACDs, copywriters, and project managers on luxury, fashion, hospitality, and prestige beauty accounts, which requires balancing brand equity metrics (aided recall, share of voice, brand lift studies) with direct-response signals (ROAS, CAC, MER, contribution margin). What you'll do Own the full planning-to-buying lifecycle: brief intake, audience sizing in Meta Audience Insights and Google Keyword Planner, channel mix modeling, flowchart construction, IO and SOW alignment, trafficking, pacing, optimization, and reporting across Meta, TikTok, LinkedIn, Pinterest, Google Ads, Microsoft Ads, DV360, The Trade Desk, YouTube, and CTV/OLV partners Build, launch, and optimize campaigns directly in Meta Ads Manager (Advantage+ Shopping, ASC+, manual ABO/CBO structures), Google Ads (Performance Max, Search, Demand Gen, YouTube), The Trade Desk (Koa bidding, contextual and 1P data segments), LinkedIn Campaign Manager (Matched Audiences, ABM lists), Pinterest Ads Manager, and TikTok Ads Manager (Smart+, Spark Ads) Author media plans, Gantt-style flowcharts, and platform POVs informed by SQL-pulled CRM data, GA4 path analysis, Similarweb traffic benchmarks, Pathmatics or Sensor Tower competitive spend, and qualitative audience research (panels, social listening via Sprinklr or Brandwatch) Convert performance data into client-facing decks built in Google Slides or Keynote, including waterfall charts on incremental lift, cohorted LTV/CAC payback curves, and channel attribution comparisons; deliver narratives in QBRs, weekly status calls, and ad hoc executive readouts Operate as the embedded media advisor: proactively surface optimizations (creative rotation cadence, bid cap adjustments, dayparting, placement exclusions), evaluate alpha and beta features (Meta Advantage+ Catalog Ads, Google AI Max for Search, TTD OpenPath, Amazon Marketing Cloud), and pressure-test strategic shifts with hypothesis-driven test plans Partner with creative and PM teams to align asset specs (aspect ratios, runtime, file weight, dynamic creative variants for DCO), enforce trafficking deadlines tied to flight start dates, and manage creative routing through Frame.io, Workfront, or Asana to hit launch SLAs Monitor pacing within +/- 5% of plan via daily Datorama, Supermetrics, or Looker Studio dashboards; flag delivery anomalies (CPM spikes above 20%, frequency drift past 3.5, sub-50% impression share) and intervene mid-flight without prompting Support new business with media POVs, RFP responses, competitive spend audits using Pathmatics, MOAT, and Nielsen Ad Intel, and pitch-stage forecasting models with channel-level CPM, CTR, and CVR assumptions What you bring 8+ years of hands-on paid media buying experience with cumulative managed spend of $5M+, ideally at a media or integrated agency servicing premium, luxury, or DTC lifestyle brands Demonstrated in-platform execution: you personally build campaign structures, write keyword match types, configure conversion APIs and offline event uploads, set bid caps and budget schedules, and QA UTM strings rather than delegating to a junior buyer or trader Deep platform knowledge across at least three of the following: Meta, Google/YouTube, DV360, The Trade Desk, LinkedIn, TikTok, Pinterest Strong analytical fluency: confident pulling raw data via platform APIs or connectors (Supermetrics, Fivetran), building pivot tables and XLOOKUP-driven models in Excel or Google Sheets, segmenting performance by audience, placement, creative, and device, and acting on statistically significant deltas (90%+ confidence) without escalation Excellent client communication: ability to abstract auction dynamics, attribution methodology, and bid algorithms into plain-language narratives for CMOs, brand directors, and finance stakeholders who do not operate in DSPs Comfort presenting to C-suite and VP-level clients, defending channel allocation decisions against pushback, and negotiating scope, KPIs, and measurement methodology in live working sessions Exceptional attention to detail in budget reconciliation (matching platform spend to IO totals to finance ledgers within $1 variance), pacing accuracy, and reporting integrity (verified UTM hygiene, deduplicated conversions, consistent attribution windows across channels) Prior experience on luxury, prestige beauty, hospitality, fashion, or premium lifestyle accounts is a strong plus, including familiarity with brand suitability controls (DoubleVerify, IAS), category-specific inventory (Vogue, Conde Nast, Hearst, hospitality endemic), and conversion paths with longer consideration windows (28 to 90 day click-through) Who thrives here Self-directed operators who set their own optimization cadences, hold themselves to weekly performance review rituals, and ship deliverables without project-managed prompts Practitioners who view in-platform rigor (QA checklists, naming conventions, taxonomy enforcement, post-launch audits) as a senior-level discipline rather than a junior-level checkbox Communicators who write with precision (clear thesis, defensible data, tight prose) and present with confidence under stakeholder scrutiny Teammates who actively document SOPs, share platform release notes, mentor analysts and associates on bidder mechanics, and contribute to internal knowledge bases (Notion, Confluence, Slack channels) #J-18808-Ljbffr The Charles Group Inc