Director - Product Strategy (Global Media Agency)

• Lead technology and strategy engagements across multiple functional workstreams.
• Work on AAM/DMP, RT-CDP, offline data onboarding, analytics, and digital media campaigns.
• Understand client advertising platforms, technology architecture, business models, and digital marketing strategies.
• Gather and document business requirements, KPIs, functional requirements, and technical requirements.
• Design customized solutions involving data, technology, partners, integrations, and analytics.
• Develop customized technical tagging and implementation strategies.
• Generate and modify technical code required for implementation and deployment.
• Work closely with client developers and third-party partners during implementation and integration.
• Troubleshoot technical issues and provide effective recommendations.
• Prepare solution documentation, technical specifications, and implementation guidelines.

Mandatory Skills

Lead technology and strategy engagements across multiple functional workstreams.

Work on AAM/DMP, RT-CDP, offline data onboarding, analytics, and digital media campaigns.

Understand client advertising platforms, technology architecture, business models, and digital marketing strategies.

Gather and document business requirements, KPIs, functional requirements, and technical requirements.

Design customized solutions involving data, technology, partners, integrations, and analytics.

Develop customized technical tagging and implementation strategies.

Generate and modify technical code required for implementation and deployment.

Work closely with client developers and third-party partners during implementation and integration.

Troubleshoot technical issues and provide effective recommendations.

Prepare solution documentation, technical specifications, and implementation guidelines.

Key Responsibilities

1. Solutioning & Proposal Development

•   Partner with Senior SMEs and Practice Leads to design end-to-end Data & AI solutions for client pursuits — contributing to structure, content, and commercial framing.

•   Build client proposals, solution documents, and program structures that are well-organized, accurate, and ready to use without significant rework.

•   Translate client requirements into structured, outcome-oriented learning journeys — adoption, capability uplift, and measurable business outcomes, not just module lists.

•   Support customized offerings across Data Engineering, AI / ML, and GenAI and Agentic AI tracks; help assemble pursuits from existing accelerators rather than rebuilding from scratch.

2. Client Engagement Support

•   Participate in client discussions, discovery calls, and requirement-gathering sessions — capture context with the rigour that makes the next conversation sharper.

•   Convert business needs into solution frameworks and delivery models with guidance from Senior SMEs; document customer priorities so Practice and Sales can act on them.

•   Support pitch decks, case studies, and success stories — buyer-specific, visually clean, and aligned to how the customer thinks about their own problem.

•   Stay engaged through the proposal cycle and handoff to delivery; ensure no requirement gets lost between discovery and execution.

3. Content & Program Structuring

•   Assist in designing curriculum outlines, learning journeys, and hands-on lab structures that hold up against real-world enterprise contexts.

•   Work with internal and external SMEs to ensure content aligns with current industry trends, real use cases, and business outcomes — not generic technology overviews.

•   Maintain a library of reusable program structures, slide assets, and case study inserts; flag gaps in the existing content library proactively.

4. Research & Market Intelligence

•   Track trends across the AI / GenAI / LLM ecosystem and Data Engineering & Analytics — translate findings into usable inputs for outreach, pitching, and offering design.

•   Identify new solution opportunities and product ideas based on market signals, customer asks, and competitor moves.

•   Benchmark StackRoute's offerings against competitors; surface gaps and differentiation angles for Senior SMEs and Practice Leads to act on.

5. Internal Collaboration

•   Work fluidly with Delivery, Sales, and external SMEs to ensure solutions designed on paper actually work in delivery — surface feasibility risks early, not late.

•   Coordinate inputs across Practice teams during pursuit cycles; hand off to delivery with documentation that captures customer commitments and success metrics.

Must Have Technical & Functional Skills

•   Good understanding of terminologies in Data Engineering (ETL, pipelines, data lakes), Data Analytics & BI concepts, and Machine Learning fundamentals, AI tools ( not technical expertise but L1-L2 knowledge should be present from application standpoint).

•   Awareness of GenAI / LLM vocabulary — prompt engineering, RAG, APIs — with enough depth to hold a credible first conversation with a technical stakeholder.

•   Strong PowerPoint skills (client-ready decks), Excel for effort estimation and costing basics, and structured documentation — proposals, SoWs, one-pagers.

•   Strong problem-solving and structured thinking — breaks complex requirements into clear, communicable solutions.

•   Comfortable communicating with both technical and non-technical stakeholders; good storytelling and presentation instincts; understanding of L&D context is a plus.

Qualifications & Experience

Required:

•   5-15 years in the education products, or in solutioning, pre-sales, or consulting roles with exposure of 3-5 years in Data/AI/Analytics.

•   Bachelor's or Master's in Computer Science, Data Science, Engineering, or a related discipline.

Nice to Have competences:

•   Prior pre-sales, proposal writing, or design development experience.

•   Certifications in cloud, data, or AI platforms (AWS, Azure, GCP, or model-provider certifications).

Core Competencies

·      Structured Thinking: Organises ambiguous client and technical inputs into logical, buyer-relevant narratives. Builds proposals that flow from problem to solution.

·      Solution Articulation: Translates Data & AI capabilities into crisp, persona-specific stories. Adapts the pitch for a CTO, L&D Head, or BU Head without losing substance.

·      Research & Synthesis: Gathers and distils large volumes of information into sharp, usable outputs. Knows what to include and what to leave out.

·      Written Communication: Writes a tight brief, a clean slide, and a clear email. Adapts register from internal working notes to buyer-facing collateral.

·      Curiosity & Learning Agility: Picks up new tools, concepts, and sectors quickly. Tracks AI / GenAI shifts proactively rather than waiting to be told what to read.

·      Bias for Action: Ships a useful 10-slide deck on time rather than a polished 20-slide deck that's late. Comfortable with iteration over perfection.

1. Plan, launch, and manage digital marketing campaigns across Google, Meta, and LinkedIn.
2. Conduct keyword research, Keyword expansion, and optimization for Google Ads campaigns.
3. Build and manage relevant audiences, custom audiences, lookalike audiences, and targeting segments across LinkedIn and Meta.
4. Develop and implement retargeting strategies to improve conversions and re-engage potential customers.
5. Monitor campaign performance and continuously optimize campaigns based on CPC, CTR, CPM, CPL, CPA, ROAS, conversion rates, and other relevant KPIs.
6. Identify campaign performance trends and make data-driven recommendations for campaign rate and performance optimization.
7. Prepare regular campaign reports and performance summaries, highlighting key insights, challenges, and recommendations.
8. Monitor advertising spends, campaign budgets, and account balances, including regular coordination for loading funds to ensure campaigns run without interruption. Recommend budget reallocations based on campaign performance, efficiency, and business priorities. Identify underperforming campaigns, audiences, keywords, and creatives and take corrective action.
9. Drive organic growth through SEO, AIO (AI Optimization), and AEO (Answer Engine Optimization) initiatives.
10. Conduct ongoing research into search behavior, keyword trends, competitor activity, and emerging digital marketing opportunities.
11. Collaborate with creative and content teams to develop performance-focused ad creatives, messaging, and landing-page recommendations

Position Overview: The ideal candidate will assist in supporting and driving MarTech, CRM, and Loyalty initiatives, with a focus on the BFSI business segment. This role will involve collaborating with cross-functional teams, including Data Analytics, Data Science, Campaign, Digital, and Customer Experience Center, while learning to contribute to the execution of key projects and strategies. Strong teamwork and communication skills are essential for effectively supporting these initiatives and driving results.

Key Responsibilities:

• Oversee the BFSI business segment in developing and executing strategies to drive growth and profitability.
• Manage the MarTech, CRM, and client retention programs to enhance customer lifetime value (CLV).
• Collaborate with cross-functional teams including Campaign, Data Analytics, Data Science, Digital, and Customer Experience, to foster teamwork and innovation.
• Help implement customer lifecycle management (CLM) strategies to optimize the customer journey and improve experience.
• Track and analyze key metrics to assess campaign success and drive continuous improvement.
• Stay current with industry trends in MarTech, CRM, and BFSI to identify growth opportunities.
• Apply knowledge of BFSI, Mutual Funds, Insurance and client servicing to enhance customer engagement.
• Support campaign management activities, ensuring timely execution and optimal results.
• Use basic MS Excel proficiency for analysis and deriving actionable insights from data.

Qualifications:

• Experience in MarTech, CRM, and campaign management in the BFSI sector.
• Knowledge of BFSI, Mutual Funds, Insurance, client servicing, and campaign management strategies.
• Ability to collaborate effectively with cross-functional teams and contribute to shared goals.
• Understanding of customer retention and lifecycle management principles.
• Familiarity with data analytics and using insights to improve marketing and customer experience.
• Strong communication skills and the ability to work well with internal teams and external stakeholders.
• Proactive, results-oriented mindset and ability to thrive in a fast-paced environment.
• Basic proficiency in MS Excel for data analysis.

Adobe Experience Platform Technical Lead

(Sr. Strategist, Tech Services or Principal Strategist, Tech Services)

About the Role

We're looking for a seasoned Adobe Experience Platform (AEP) Technical Lead to join our

team. In this role, you'll be the go-to expert for a suite of Adobe technologies – spanning AEP,

Real-Time CDP, Adobe Journey Optimizer, and Customer Journey Analytics – serving clients

across multiple industries.

You'll balance strategic thinking with hands-on execution: architecting solutions, building within

the platforms, and guiding other developers through implementation. You'll work alongside a

collaborative team of strategists, analysts, creatives, and engineers working across the broader

tech ecosystem – including Salesforce, Marketo, Adobe Experience Manager, and Adobe

Target – and you'll be a trusted voice in the room with our clients.

What You'll Do

Technical Leadership & Architecture

• Design and architect end-to-end AEP implementations, including data ingestion, schema

design (XDM), identity resolution, and segmentation strategies

• Lead solution design sessions, translating business requirements into scalable, bestpractice

technical implementations

• Define implementation standards, patterns, and documentation for the AEP ecosystem

across client engagements

• Break down complex technical implementations into clear, manageable tasks, delegating

ownership to other developers and team members

• Conduct peer reviews of other developers' work, providing constructive technical

feedback and ensuring quality and consistency

• Mentor and guide other developers working alongside you on AEP, RTCDP, AJO, and

CJA

Hands-On Platform Work

• Configure and build within Adobe Experience Platform: data streams, datasets,

schemas, sources, destinations, and merge policies

• Implement and manage Real-Time CDP audiences, identity graphs, and activation

workflows to downstream channels and platforms

• Build and optimize customer journeys in Adobe Journey Optimizer, including triggers,

decisioning logic, and cross-channel orchestration

• Set up and configure Customer Journey Analytics workspaces, connections, data views,

and calculated metrics

• Collaborate with adjacent developers on integrations with AEM, Target, Marketo,

Salesforce, Snowflake, and other ecosystem tools

Client Engagement & Advisory

• Serve as a subject matter expert for clients, helping them understand platform

capabilities, constraints, and best practices

• Lead and participate in discovery sessions, technical workshops, and solution

presentations

• Recommend implementation approaches based on industry experience, making tradeoffs

clear and actionable

• Translate complex technical concepts for non-technical stakeholders including

marketing, strategy, and product teams

• Stay current with the Adobe product roadmap and proactively bring relevant updates and

opportunities to client conversations

Cross-Functional Collaboration

• Work closely with strategists, analysts, and creatives to ensure technical solutions

support campaign goals and data insights

• Coordinate with other platform developers (AEM, Salesforce, Target, Marketo) to deliver

cohesive, integrated solutions

• Participate in sprint planning, backlog grooming, and technical discovery as part of an

agile delivery team

What You Bring

Required

• 5+ years of experience working in the Adobe Experience Cloud ecosystem, with deep,

hands-on expertise across AEP, RTCDP, AJO, and CJA

• Proven ability to architect and implement AEP solutions from the ground up, including

XDM schema design, data ingestion pipelines, and identity resolution

• Experience activating audiences from RTCDP to paid media, email, Adobe Target, and

other downstream destinations

• Hands-on AJO experience building multi-step customer journeys, decisioning, and

cross-channel messaging

• Strong understanding of CJA configuration, including connections, data views, and

Analysis Workspace reporting

• Experience with AEP RESTful APIs and Configuration as Code (CaC) best practices and

techniques

• Experience guiding and reviewing the work of other developers, with a strong eye for

implementation quality

• Comfortable presenting technical solutions and recommendations directly to clients and

stakeholders

• Familiarity with adjacent technologies including AEM, Adobe Target, Salesforce, or other

marketing/data platforms

Nice to Have

• Adobe certifications (e.g., Adobe Certified Expert in RTCDP, CJA or AJO)

• Experience with data engineering concepts: SQL, ETL pipelines, API integrations, or

event streaming

• Familiarity with web data collection via Adobe Web SDK / alloy.js or Launch/Tags

• Agency or consultancy background with experience managing multiple client

engagements simultaneously

• Understanding of data privacy frameworks (GDPR, CCPA) and how they apply to

customer data platforms

Why This Role

• Work on complex, high-impact engagements across a diverse client portfolio

• Shape how our practice approaches the Adobe ecosystem – your architecture decisions

matter

• Collaborate with experienced practitioners across the full digital experience stack

• Grow your craft in a team that values technical depth and client partnership equally